npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@datafire/cloudmersive_ocr

v5.0.0

Published

DataFire integration for ocrapi

Downloads

2

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

datafiredatafire

Keywords

Readme

@datafire/cloudmersive_ocr

Client library for ocrapi

Installation and Usage

npm install --save @datafire/cloudmersive_ocr
let cloudmersive_ocr = require('@datafire/cloudmersive_ocr').create({
  Apikey: ""
});

.then(data => {
  console.log(data);
});

Description

The powerful Optical Character Recognition (OCR) APIs let you convert scanned images of pages into recognized text.

Actions

ImageOcr_ImageLinesWithLocation

Converts an uploaded image in common formats such as JPEG, PNG into lines/text with location information and other metdata via Optical Character Recognition. This API is intended to be run on scanned documents. If you want to OCR photos (e.g. taken with a smart phone camera), be sure to use the photo/toText API instead, as it is designed to unskew the image first.

cloudmersive_ocr.ImageOcr_ImageLinesWithLocation({
  "imageFile": ""
}, context)

Input

  • input object
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_ImageWordsWithLocation

Converts an uploaded image in common formats such as JPEG, PNG into words/text with location information and other metdata via Optical Character Recognition. This API is intended to be run on scanned documents. If you want to OCR photos (e.g. taken with a smart phone camera), be sure to use the photo/toText API instead, as it is designed to unskew the image first.

cloudmersive_ocr.ImageOcr_ImageWordsWithLocation({
  "imageFile": ""
}, context)

Input

  • input object
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_Post

Converts an uploaded image in common formats such as JPEG, PNG into text via Optical Character Recognition. This API is intended to be run on scanned documents. If you want to OCR photos (e.g. taken with a smart phone camera), be sure to use the photo/toText API instead, as it is designed to unskew the image first.

cloudmersive_ocr.ImageOcr_Post({
  "imageFile": ""
}, context)

Input

  • input object
    • recognitionMode string: Optional; possible values are 'Basic' which provides basic recognition and is not resillient to page rotation, skew or low quality images uses 1-2 API calls; 'Normal' which provides highly fault tolerant OCR recognition uses 26-30 API calls; and 'Advanced' which provides the highest quality and most fault-tolerant recognition uses 28-30 API calls. Default recognition mode is 'Advanced'
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

PdfOcr_PdfToLinesWithLocation

Converts a PDF into lines/text with location information and other metdata via Optical Character Recognition. This API is intended to be run on scanned documents. If you want to OCR photos (e.g. taken with a smart phone camera), be sure to use the photo/toText API instead, as it is designed to unskew the image first.

cloudmersive_ocr.PdfOcr_PdfToLinesWithLocation({
  "imageFile": ""
}, context)

Input

  • input object
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • imageFile required string: PDF file to perform OCR on.

Output

PdfOcr_PdfToWordsWithLocation

Converts a PDF into words/text with location information and other metdata via Optical Character Recognition. This API is intended to be run on scanned documents. If you want to OCR photos (e.g. taken with a smart phone camera), be sure to use the photo/toText API instead, as it is designed to unskew the image first.

cloudmersive_ocr.PdfOcr_PdfToWordsWithLocation({
  "imageFile": ""
}, context)

Input

  • input object
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • imageFile required string: PDF file to perform OCR on.

Output

PdfOcr_Post

Converts an uploaded PDF file into text via Optical Character Recognition.

cloudmersive_ocr.PdfOcr_Post({
  "imageFile": ""
}, context)

Input

  • input object
    • recognitionMode string: Optional; possible values are 'Basic' which provides basic recognition and is not resillient to page rotation, skew or low quality images uses 1-2 API calls per page; 'Normal' which provides highly fault tolerant OCR recognition uses 26-30 API calls per page; and 'Advanced' which provides the highest quality and most fault-tolerant recognition uses 28-30 API calls per page. Default recognition mode is 'Basic'
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • imageFile required string: PDF file to perform OCR on.

Output

ImageOcr_PhotoRecognizeBusinessCard

Analyzes a photograph of a business card as input, and outputs key business information such as the name of the person, name of the business, the address of the business, the phone number, the email address and more.

cloudmersive_ocr.ImageOcr_PhotoRecognizeBusinessCard({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_PhotoRecognizeForm

Analyzes a photograph of a form as input, and outputs key business fields and information. Customzie data to be extracted by defining fields for the form.

cloudmersive_ocr.ImageOcr_PhotoRecognizeForm({
  "imageFile": ""
}, context)

Input

  • input object
    • formTemplateDefinition object: Form field definitions
    • recognitionMode string: Optional, enable advanced recognition mode by specifying 'Advanced', enable handwriting recognition by specifying 'EnableHandwriting'. Default is disabled.
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image - including automatic unrotation of the image - before OCR is applied; this is recommended). Set this to 'None' if you do not want to use automatic image unrotation and enhancement.
    • diagnostics string: Optional, diagnostics mode, default is 'false'. Possible values are 'true' (will set DiagnosticImage to a diagnostic PNG image in the result), and 'false' (no diagnostics are enabled; this is recommended for best performance).
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_PhotoRecognizeFormAdvanced

Analyzes a photograph of a form as input, and outputs key business fields and information. Customzie data to be extracted by defining fields for the form. Uses template definitions stored in Cloudmersive Configuration; to configure stored templates in a configuration bucket, log into Cloudmersive Management Portal and navigate to Settings > API Configuration > Create Bucket

cloudmersive_ocr.ImageOcr_PhotoRecognizeFormAdvanced({
  "imageFile": ""
}, context)

Input

  • input object
    • bucketID string: Bucket ID of the Configuration Bucket storing the form templates
    • bucketSecretKey string: Bucket Secret Key of the Configuration Bucket storing the form templates
    • recognitionMode string: Optional, enable advanced recognition mode by specifying 'Advanced', enable handwriting recognition by specifying 'EnableHandwriting'. Default is disabled.
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image - including automatic unrotation of the image - before OCR is applied; this is recommended). Set this to 'None' if you do not want to use automatic image unrotation and enhancement.
    • diagnostics string: Optional, diagnostics mode, default is 'false'. Possible values are 'true' (will set DiagnosticImage to a diagnostic PNG image in the result), and 'false' (no diagnostics are enabled; this is recommended for best performance).
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_PhotoRecognizeReceipt

Analyzes a photograph of a receipt as input, and outputs key business information such as the name of the business, the address of the business, the phone number of the business, the total of the receipt, the date of the receipt, and more.

cloudmersive_ocr.ImageOcr_PhotoRecognizeReceipt({
  "imageFile": ""
}, context)

Input

  • input object
    • recognitionMode string: Optional, enable advanced recognition mode by specifying 'Advanced', enable handwriting recognition by specifying 'EnableHandwriting'. Default is disabled.
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'None'. Possible values are None (no preprocessing of the image), and 'Advanced' (automatic image enhancement of the image before OCR is applied; this is recommended and needed to handle rotated receipts).
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_PhotoWordsWithLocation

Converts a photo of a document or receipt in common formats such as JPEG, PNG into words/text with location information and other metdata via Optical Character Recognition. This API is intended to be run on photographs of documents. If you want to OCR scanned documents (e.g. taken with a scanner), be sure to use the image/toText API instead, as it is designed for that use case.

cloudmersive_ocr.ImageOcr_PhotoWordsWithLocation({
  "imageFile": ""
}, context)

Input

  • input object
    • recognitionMode string: Optional; possible values are 'Normal' which provides highly fault tolerant OCR recognition uses 26-30 API calls; and 'Advanced' which provides the highest quality and most fault-tolerant recognition uses 28-30 API calls. Default recognition mode is 'Advanced'
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • preprocessing string: Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended).
    • diagnostics string: Optional, diagnostics mode, default is 'false'. Possible values are 'true' (will set DiagnosticImage to a diagnostic PNG image in the result), and 'false' (no diagnostics are enabled; this is recommended for best performance).
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

ImageOcr_PhotoToText

Converts an uploaded photo of a document in common formats such as JPEG, PNG into text via Optical Character Recognition. This API is intended to be run on photos of documents, e.g. taken with a smartphone and supports cases where other content, such as a desk, are in the frame and the camera is crooked. If you want to OCR a scanned image, use the image/toText API call instead as it is designed for scanned images.

cloudmersive_ocr.ImageOcr_PhotoToText({
  "imageFile": ""
}, context)

Input

  • input object
    • recognitionMode string: Optional; possible values are 'Basic' which provides basic recognition and is not resillient to page rotation, skew or low quality images uses 1-2 API calls; 'Normal' which provides highly fault tolerant OCR recognition uses 26-30 API calls; and 'Advanced' which provides the highest quality and most fault-tolerant recognition uses 28-30 API calls. Default recognition mode is 'Advanced'
    • language string: Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish)
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

Preprocessing_Binarize

Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.

cloudmersive_ocr.Preprocessing_Binarize({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

  • output string

Preprocessing_BinarizeAdvanced

Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations. Provides enhanced accuracy than adaptive binarization. Image will be upsampled to 300 DPI if it has a DPI below 300.

cloudmersive_ocr.Preprocessing_BinarizeAdvanced({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

  • output string

Preprocessing_GetPageAngle

Analyzes a photo or image of a document and identifies the rotation angle of the page.

cloudmersive_ocr.Preprocessing_GetPageAngle({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

Preprocessing_Unrotate

Detect and unrotate an image of a document (e.g. that was scanned at an angle). Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

cloudmersive_ocr.Preprocessing_Unrotate({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

  • output string

Preprocessing_UnrotateAdvanced

Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

cloudmersive_ocr.Preprocessing_UnrotateAdvanced({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

  • output string

Preprocessing_Unskew

Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

cloudmersive_ocr.Preprocessing_Unskew({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

  • output string

Receipts_PhotoToCSV

Leverage Deep Learning to automatically turn a photo of a receipt into a CSV file containing the structured information from the receipt.

cloudmersive_ocr.Receipts_PhotoToCSV({
  "imageFile": ""
}, context)

Input

  • input object
    • imageFile required string: Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

Output

  • output object

Definitions

BusinessCardRecognitionResult

  • BusinessCardRecognitionResult object: Result of recognizing a business card, to extract the key information from the business card
    • AddressString string: The address printed on the business card (if included on the business card)
    • BusinessName string: The name of the business printed on the business card (if included on the business card)
    • EmailAddress string: The email address printed on the business card (if included on the business card)
    • PersonName string: The name of the person printed on the business card (if included on the business card)
    • PersonTitle string: The title of the person printed on the business card (if included on the business card)
    • PhoneNumber string: The phone number printed on the business card (if included on the business card)
    • Successful boolean: True if the operation was successful, false otherwise
    • Timestamp string: The date and time printed on the business card (if included on the business card)

FieldResult

FormDefinitionTemplate

  • FormDefinitionTemplate object: Definition of a form template; use a form template definition to recognize the fields in a form with Cloudmersive OCR
    • FieldDefinitions array: Field definitions in the template; a field is comprised of a key/value pair
    • TableDefinitions array: Table definitions in the template; a table is comprised of columns and rows and exists in a 2-dimensional layout; a common example of a table would be an invoice

FormFieldDefinition

  • FormFieldDefinition object: Definition of a form field for OCR data extraction from images
    • AllowNumericDigits boolean: Optional - set to false to block values that contain numeric digits, set to true to allow numeric digits
    • AlternateAnchor string: Optional - alterate match text for the specified anchor
    • AnchorMode string: Optional - the matching mode for the anchor. Possible values are Complete (requires the entire anchor to match) and Partial (allows only part of the anchor to match) and Horizontal (anchor must be laid out horizontally). Default is Partial.
    • BottomAnchor string: Optional - the bottom anchor of the field
    • DataType string: The data type of the field; possible values are INTEGER (Integer value), STRING (Arbitrary string value, spaces are permitted), DATE (Date in a structured format), DECIMAL (Decimal number), ALPHANUMERIC (Continuous alphanumeric string with no spaces), STRINGNOWHITESPACE (A string that contains no whitespace characters), SERIALNUMBER (A serial-number style string that contains letters and numbers, and certain symbols; must contain at least one number), ALPHAONLY (Alphabet characters only, no numbers or symbols or whitespace)
    • FieldID string: The identifier of the field; use this to identify which field is being referenced. Set to SkipField if you do not wish to return the value of this field in the result.
    • HorizontalAlignmentType string: Horizontal alignment of target value area relative to the field anchor; Possible values are Left, Right
    • Ignore array: Optional - Ignore any result items that contain a partial or complete match with these text strings
      • items string
    • LeftAnchor string: Optional - the left-hand anchor of the field
    • MinimumCharacterCount integer: Optional - the target number of digits in the field; useful for fixed-length fields
    • Options string: Optional - additional options that can be set for this field definition, separated by commas. Possible values are AllowMultiMatch (allow the same anchor to be matched to multiple fields)
    • TargetDigitCount integer: Optional - the target number of digits in the field; useful for fixed-length fields
    • TargetFieldHeight_Relative number: Optional - scale factor for target field height - relative to height of field title
    • TargetFieldHorizontalAdjustment number: Optional - horizontal adjestment in relative width of the field
    • TargetFieldVerticalAdjustment number: Optional - vertical adjestment in relative height of the field
    • TargetFieldWidth_Relative number: Optional - scale factor for target field width - relative to width of field title; a value of 1.0 indicates the target value area has the same width as the field value as occurring in the image; a value of 2.0 would indicate that the target value area has 2 times the width of the field value as occurring in the image.
    • TopAnchor string: Optional - the top anchor of the field
    • VerticalAlignmentType string: Vertical alignment of target value area relative to the field anchor; Possible values are VCenter, Top, Bottom

FormRecognitionResult

  • FormRecognitionResult object: The result of extracting form field values
    • BestMatchFormSettingName string: Optional; populated when using photo/recognize/form/advanced with the Setting Name of the best-matching highest-relevance form
    • Diagnostics array: Diagnostic images - default is null, enable diagnostics=true to populate this parameter with one image per field
      • items string
    • FieldValueExtractionResult array: Result of form field OCR data extraction
    • Successful boolean: True if the operation was successful, false otherwise
    • TableValueExtractionResults array: Result of form table OCR data extraction

FormTableColumnDefinition

  • FormTableColumnDefinition object: Definition of a column within a table for OCR data extraction from images
    • AllowNumericDigits boolean: Optional - set to false to block values that contain numeric digits, set to true to allow numeric digits
    • AnchorMode string: Optional - the matching mode for the anchor. Possible values are Complete (requires the entire anchor to match) and Partial (allows only part of the anchor to match). Default is Partial.
    • ColumnID string: The identifier of the field; use this to identify which field is being referenced
    • DataType string: The data type of the field; possible values are INTEGER (Integer value), STRING (Arbitrary string value, spaces are permitted), DATE (Date in a structured format), DECIMAL (Decimal number), ALPHANUMERIC (Continuous alphanumeric string with no spaces), STRINGNOWHITESPACE (A string that contains no whitespace characters), SERIALNUMBER (A serial-number style string that contains letters and numbers, and certain symbols; must contain at least one number), ALPHAONLY (Alphabet characters only, no numbers or symbols or whitespace)
    • MinimumCharacterCount integer: Optional - the target number of digits in the field; useful for fixed-length fields
    • TopAnchor string: Optional - the top anchor of the column heading

FormTableDefinition

  • FormTableDefinition object: Definition of a form table for OCR data extraction from images
    • ColumnDefinitions array: Definition of the columns in the table
    • TableID string: Optional; the ID of the table
    • TargetRowHeight_Relative number: Optional - scale factor for target row height - relative to height of column header
    • TargetTableHeight_Relative number: Optional - scale factor for target table height - relative to maximum height of headers of columns

GetPageAngleResult

  • GetPageAngleResult object: Result of performing a get-page-angle operation
    • Angle number: Angle of the page in radians; 0 represents perfectly horizontal
    • Successful boolean: True if the operation was successful, false otherwise

ImageToLinesWithLocationResult

  • ImageToLinesWithLocationResult object: Result of an image to lines-with-location OCR operation
    • Lines array: Words in the image
    • Successful boolean: True if successful, false otherwise

ImageToTextResponse

  • ImageToTextResponse object: Response from an OCR to text operation. Includes the confience rating and converted text result.
    • MeanConfidenceLevel number: Confidence level rating of the OCR operation; ratings above 80% are strong.
    • TextResult string: Converted text string from the image input.

ImageToWordsWithLocationResult

  • ImageToWordsWithLocationResult object: Result of an image to words-with-location OCR operation
    • Successful boolean: True if successful, false otherwise
    • Words array: Word elements in the image

OcrLineElement

  • OcrLineElement object: A contiguous line of text in an OCR document
    • LineText string: Text of the line
    • Words array: Word objects in the line

OcrPageResult

  • OcrPageResult object
    • MeanConfidenceLevel number: Confidence level rating of the OCR operation; ratings above 80% are strong.
    • PageNumber integer: Page number of the page that was OCR-ed, starting with 1 for the first page in the PDF file
    • TextResult string: Converted text string from the image input.

OcrPageResultWithLinesWithLocation

  • OcrPageResultWithLinesWithLocation object: OCR results of a page, including lines of text and their location
    • Lines array: Word elements in the image
    • PageNumber integer: Page number of the page that was OCR-ed, starting with 1 for the first page in the PDF file
    • Successful boolean: True if successful, false otherwise

OcrPageResultWithWordsWithLocation

  • OcrPageResultWithWordsWithLocation object: OCR results of a page, including words of text and their location
    • PageNumber integer: Page number of the page that was OCR-ed, starting with 1 for the first page in the PDF file
    • Successful boolean: True if successful, false otherwise
    • Words array: Word elements in the image

OcrPhotoTextElement

  • OcrPhotoTextElement object: A single text in an OCR document
    • BoundingPoints array: Points that form the bounding polygon around the text
    • ConfidenceLevel number: Confidence level of the machine learning result; possible values are 0.0 (lowest accuracy) - 1.0 (highest accuracy)
    • Height integer: Height of the word in pixels
    • Text string: Text of the word
    • Width integer: Width of the word in pixels
    • XLeft integer: X location of the left edge of the word in pixels
    • YTop integer: Y location of the top edge of the word in pixels

OcrWordElement

  • OcrWordElement object: A single word in an OCR document
    • BlockNumber integer: Index of the containing block
    • ConfidenceLevel number: Confidence level of the machine learning result; possible values are 0.0 (lowest accuracy) - 1.0 (highest accuracy)
    • Height integer: Height of the word in pixels
    • LineNumber integer: Line number of the word
    • PageNumber integer: Index of the containing page
    • ParagraphNumber integer: Index of the containing paragraph
    • Width integer: Width of the word in pixels
    • WordNumber integer: Index of the word in the line
    • WordText string: Text of the word
    • XLeft integer: X location of the left edge of the word in pixels
    • YTop integer: Y location of the top edge of the word in pixels

PdfToLinesWithLocationResult

  • PdfToLinesWithLocationResult object: Response from an OCR to lines with location operation. Includes the confience rating and converted text result, along with the locations of the lines in the pages.

PdfToTextResponse

  • PdfToTextResponse object: Response from an OCR to text operation. Includes the confidence rating and converted text result.
    • OcrPages array: Page OCR results
    • Successful boolean: True if successful, false otherwise

PdfToWordsWithLocationResult

  • PdfToWordsWithLocationResult object: Response from an OCR to words with location operation. Includes the confience rating and converted text result, along with the locations of the words in the pages.

PhotoToWordsWithLocationResult

  • PhotoToWordsWithLocationResult object: Result of an photo to words-with-location OCR operation
    • DiagnosticImage string: Typically null. To analyze OCR performance, enable diagnostic mode by adding the HTTP header "DiagnosticMode" with the value "true". When this is true, a diagnostic image showing the details of the OCR result will be set in PNG format into DiagnosticImage.
    • Successful boolean: True if successful, false otherwise
    • TextElements array: Word elements in the image

Point

  • Point object: Point location in 2D in an image, where 0, 0 represents the top/left corner of the image
    • X integer: X location in 2D in the image, where 0 represents the left edge of the image
    • Y integer: Y location in 2D in the image, where 0 represents the top edge of the image

ReceiptLineItem

  • ReceiptLineItem object: Receipt line item, comprised of a product or item and a price (if available)
    • ItemDescription string: Description of the item
    • ItemPrice number: Price of the item if available

ReceiptRecognitionResult

  • ReceiptRecognitionResult object: Result of recognizing a receipt, to extract the key information from the receipt
    • AddressString string: The address of the business printed on the receipt (if included on the receipt)
    • BusinessName string: The name of the business printed on the receipt (if included on the receipt)
    • BusinessWebsite string: The website URL of the business printed on the receipt (if included on the receipt)
    • PhoneNumber string: The phone number printed on the receipt (if included on the receipt)
    • ReceiptItems array: The individual line items comprising the order; does not include total (see ReceiptTotal)
    • ReceiptSubTotal number: Optional; if available, the monetary value of the receipt subtotal - typically not including specialized line items such as Tax. If this value is not available, it will be 0.
    • ReceiptTotal number: The total monetary value of the receipt (if included on the receipt)
    • Successful boolean: True if the operation was successful, false otherwise
    • Timestamp string: The date and time printed on the receipt (if included on the receipt)

TableCellResult

  • TableCellResult object: The recognition result of one cell in one row in a table of a form
    • CellValues array: Result cell value(s) extracted
    • ColumnID string: The ID of the column

TableResult

  • TableResult object: The result of reading a table via OCR from a form

TableRowResult

  • TableRowResult object: One row of data in the resulting table
    • TableRowCellsResult array: Table cells in this row result