Input documents that have a table like structure. Table OCR, receipt OCR, invoice processing and all other type of If set to true, the OCR logic makes sure that the parsed text result is always returned line by line.
Note that the front page demo uses scale=true, but the API uses scale=false by default. This can improve the OCR result significantly, especially for If set to true, the api does some internal upscaling. If true, the text layer is hidden (not visible) This parameter automatically sets isOverlayRequired = true.ĭefault = False. If the image is not rotated, then TextOrientation=0, otherwise it is the degree of the rotation, e. If set to true, the api autorotates the image correctly and sets the For document ocr, the api supports the Adobe PDF format. Png, jpg (jpeg), gif, tif (tiff) and bmp. Overwrites the automatic file type detection based on content-type.
String value: PDF, GIF, PNG, JPG, TIF, BMP Overlay data can be used, for example, to show text over the image. If false, the OCR'ed text is returned only as a text block (this makes the JSON reponse smaller). If true, returns the coordinates of the bounding boxes for each word. Any Western language can be processed.Įngine3 supports additional writing systems/languages. So it is "eng" and not "en".Įngine2 has automatic Western language detection, so this value will be ignored.
#IMAGE PDF TO TEXT CODE#
IMPORTANT: The language code has always 3-letters (not 2). If no language is specified, English eng is taken as default. We recommend the URL method for file sizes > 10 MB for faster upload speeds. You can use three methods to upload the input image or PDF. Url: URL of remote image file (Make sure it has the right content type)įile: Multipart encoded image file with filenameīase64Image: Image or PDF as Base64 encoded string
#IMAGE PDF TO TEXT PRO#
If this might be a problem for yourĪpplication, simply continue to use the fully SSL-encrypted POST version of the API or switch to the PRO OCR API, which provides additional options.
#IMAGE PDF TO TEXT FREE#
The worst-case scenario is that somebody uses all your free conversions. He or she can not access any information about you or the OCR'ed documents, because we do not store such information in the first place. But this is not a security problem because even if somebody gains access to your personal API key, Just note that the URL with the api key might be stored in your browser's history. So by design, a GET api cannot support file uploads ( file parameter) HTTP POST requests can supply additional data to the server in the message body. The important limitation of the GET api endpoint is it only allows image and PDF submissions via the URL method, as only
You can also request the x/y word coordinates with isOverlayRequired: To use another language, add &language to the url. Everything you need for the api call is inside the URL.Įxample (just click the link to start the OCR): "GET" OCR API Endpoint Using an OCR API was never easier.īesides the full-featured "POST" OCR API at /parse/image we provide an additional OCR API endpointĪt /parse/ImageUrl for GET requests. (If you have code examples for other languages, please let us know and we will add them to this list). Now it's time to get started: Below you find example code for calling the API from Postman, AutoHotKey (AHK), cURL,Īnd Javascript. You can check the API performance and uptime at the API status page. The PRO OCR API can also be purchased as a locally installable on-premise OCR software.ġ00% uptime or money back(dedicated, redundant servers in USA/EU/Asia) You have signed-up for the PRO or PRO PDF account. You receive the URLs for the global PRO endpoints and your API key in the welcome email directly after The PRO OCR API runs on physically different servers than our free OCR API service. The free OCR API plan has a rate limit of 500 requests within one day per IP address to prevent accidental spamming.įor even faster response times and guaranteed 100% uptime PRO plans are available. The OCR API provides a simple way of parsing images and multi-page PDF documents (PDF OCR)Īnd getting the extracted text results returned in a JSON format.
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