Itext Pro 1 2 5 – Ocr Tool Software

The table below lists all possible API parameters. As additional documentation, we published a sample api call collection that you can load into Postman. And last but not least: Our free online ocr form on the front page is nothing else than a POST call to the free OCR API endpoint and can be used for testing as well.

Select the best OCR Engine

The OCR API offers two different OCR engine with a different processing logic. We recommend that you try both and then use whatever engine gives you the best OCR result. You can use both OCR engines with our free online OCR service on the front page and with the OCREngine=1/2 parameter in your API call.

Features of OCR Engine 1:

• - Supports more languages (including Asian languages like Chinese, Japanese and Korean)
• - Faster
• - Supports larger images
• - Multi-Page TIFF scan support
• - Parameter: OCREngine=1

Features of OCR Engine 2:

• - Western Latin Character languages only (English, German, French,..)
• - Language auto-detect. It does not matter what OCR language you select, as long as it uses Latin characters
• - Usually better at single number OCR, single character OCR and alphanumeric OCR in general (e. g. SUDOKO, Dot Matrix OCR, MRZ OCR, Single digit OCR, Missing 1st letter after OCR, .. )
• - Usually better at special characters OCR like @+-..
• - Usually better with rotated text (Forum: Detect image spam)
• - Image size limit 5000px width and 5000px height
• - Parameter: OCREngine=2

Enterprise Support: Both OCR engines are available for offline, self-hosting as On-Premise OCR!

The returned OCR result JSON response is identical for both engines! You can switch between both engines as needed. The features that are not mentioned in this OCR engine comparison are the same for both engines, for example PDF OCR, detect orientation and receipt scanning support. If you have any question about using Engine 1 or 2, please ask in our OCR API Forum.

The API returns results in JSON format. The result typically contains the ExitCode, Error details (if occurred) and a bunch of parsed results for the Image / PDF pages. Please check below the response the Web API returns and definition of various parameters. The illustration below shows success and error responses.

You can create searchable PDFs (sometimes also called Sandwich PDFs) directly via the API. The PDF is returned as download link in the API JSON response the form of 'SearchablePDFURL': '..'. The download link is valid for one hour, after this time the document is deleted from our OCR servers.

The isCreateSearchablePdf = true switch triggers the generation of the searchable PDF. By default, the added text layer is visible - - this is ideal for testing the result as you can compare the OCR'ed output directly with the scan image. By adding isSearchablePdfHideTextLayer = true you make the text layer invisible. Creating a searchable PDF from the OCR result takes additional processing time, so you should only activate this feature if you need the OCR result in PDF format.

NOTE: You must use both parameters, isCreateSearchablePdf = true and isSearchablePdfHideTextLayer = false or true, otherwise the generated PDF contains no text layer.

When used with the free OCR API tier, the generated PDF contains a watermark 'Generated by OCR.space' in the lower right corner. With the PRO OCR API, no watermark is added to the PDF.

The fastest way to test the OCR API is to make a GET call - just copy the URL in your web browser.

Test API with the Postman App

Getting started: Use the free Postman app for Windows, Mac and Linux to test the OCR API and play with the different parameters.

(a) Provide image/PDF to be OCR'ed via URL

The screenshots below show the settings for sending the image/PDF via a URL. Filevault password not working. Note that the encoding is set to multipart/form-data.

In all cases (file upload via URL, file or base64) the api key (password) is sent in header:

(b) Upload image/PDF to be OCR'ed from your server/PC

Same Postman app, but this time we are using the 'File' setting to upload the image or PDF.

(c) Send image as Base64 string

Same Postman app, but this time, we are using the 'Base64Image' parameter to send the image as string. Tipard mac video converter ultimate 9 2 16 download free.

Tip: Make sure there is no extra 'new line' after pasting a base64 string into Postman. If there is, the API will (rightfully) return a 'Not a valid base64 image.' error.

Test BASE64 strings

The links open a text file in the browser: Image Base64 String, TIFF Base64 String, PDF as Base64 string. You can copy and paste the content of these text files directly into the 'base64image' field of Postman, or any other test code.

Important: The base64 string must start with the content type of the document. For example use data:image/jpeg;base64,data string here, data:image/png;base64,data string here or for PDF documents data:application/pdf;base64,data string here. Most online image to base64 conversion services do not add this header, they just provide the raw data string. Thus you must add it manually when you use such strings for testing.

cURL command-line

(a) Provide image/PDF to be OCR'ed via URL

curl https://api.ocr.space/Parse/Image -H 'apikey:helloworld' --data 'isOverlayRequired=true&url=http://dl.a9t9.com/blog/ocr-online/screenshot.jpg&language=eng'

curl is an open source command line tool and library for transferring data with URL syntax. The libcurl library is portable. It builds and works identically on nearly any platform (Windows, Mac, Linux,..).

(b) Upload image/PDF to be OCR'ed from your server/PC

curl -H 'apikey:helloworld' --form 'file=@screenshot.jpg' --form 'language=eng' --form 'isOverlayRequired=true' https://api.ocr.space/Parse/Image

Note: @screenshot.jpg assumes an image with name 'screenshot.jpg' is in the same directory as cURL.exe. Note that the isOverlayrequired (default: no) and the language (default: eng) parameters are optional.

(c) Send image as string in Base64 format

curl -H 'apikey:helloworld' --form 'base64Image=data:image/jpeg;base64,/9j/AAQSk [Long string here ]' --form 'language=eng' --form 'isOverlayRequired=false' https://api.ocr.space/parse/image

The base64 string in this example is truncated. You can download the full command line as Windows batch file from GitHub.

We have some test base64 strings available for download.

C# (Visual Studio Project)

There is a ready-to-use Visual Studio C# sample project for using the OCR API from C# on GitHub.

The test app allows you to upload and test any image quickly with the OCR API.

For a real-life example, look at the popular 'ShareX' productivity tool:
ShareX uses the OCR.space PRO API and the full C# source code is available.

iOS: Objective-C and Swift

The user-provided code snippets for Objective-C and Swift are a good starting point for iPhone apps with OCR features.

Android: Java

Using Android? Look at this Android sample app that uses the free OCR API. The Java app shows how to call the API using HttpsURLConnection from user 'bsuhas'. And here is another, different Java repo from user 'Globalizer'. Thanks to both for providing this code snippet.

PHP OCR API Demo Web App

For PHP we have a complete, ready-to-run demo web app that allows the user to select a document and then uploads the image or PDF document to the OCR API.

You find the full source code at Github .

Python

Here is an example of how to access the API from Python using the requests.post command.

The full source code can be found on GitHub (thanks to user 'Zaargh' for providing this code snippet). Another Python wrapper for our OCR SDK is available from GitHub user a4fr (thanks to everyone for creating code snippets).

AutoHotKey (AHK)

AHK is a popular Windows Macro Recorder. For windows automation projects that require to recognize text on images you can connect to the OCR API with CreateFormData(PostData, ContentType, oForm). This AHK forum post has the details.

C++/QT

Using C++? Jhiroka from UCLA shared this example with us: C++/QT OCR API sample app.

If you are using the C++ Casablanca Library for the HTTP POST call, note that you need to url encode the image data on top of Base64 encoding. The C++ library Casablanca does not seem to do this automatically (unlike Postman does), so use the function web::uri::encode_data_string to encode the file data after Base64 encoding the request.

Go

User Matteo made a Github repository with a Go module for the OCR API.

Ruby

Using Ruby? Suyesh shared this Ruby gem (library) with us: OCR API Ruby gem.

Perl

Using Perl? Then have a look at this OCR API user submitted Perl OCR.space module.

Powershell

We have a Powershell OCR code snippet. This includes downloading the generated sandwich PDF.

Javascript

Chrome extension

The open-source Copyfish Chrome, Edge and Firefox extension uses our OCR API. You find its Javascript source code here. This includes code that shows how to process the returned text overlay data. Note the Copyfish extension uses the PRO OCR API version.

A zipper 1 35. Test it: You can install the Copyfish OCR extension in Chrome, Edge, and Firefox.

NPM/Node.js

The latest OCR API Node.JS wrapper is from user DavideViolante. It allows you to specify the OCR Space API endpoints (Free and PRO).
Older Node.JS wrappers: User Dennis.K published a NPM package for the OCR API and Anthony Luzquiños released an updated NPM package for the OCR API.

Jquery