Automating your data capture process has never been easier.

Optical Character Recognition with Filestack Capture

Have you heard about all you can do with Filestack Capture? Not only does Filestack’s OCR SDK help with simply digitizing documents, you’re also able to extract and organize data from credit cards, passports and tax receipts without lifting a finger. OCR from Filestack organizes and streamlines the data capture process so that you don’t have to. ​

Capture from Filestack bridges the gap between information from physical documents and digital data stores that allow for analysis, organization and effective data transfer.

Increase data collection efficiency, reduce errors and convert large amounts of documents that would otherwise be extremely time consuming and highly labor intensive.

Optical Character Recognition

Optical Character Recognition is the identification of printed or written text characters through a digital process of photo scanning. Scanning character-by-character, analysis of the image, and translation of the character image into character codes used in data processing.

How It Works

Filestack Capture is a powerful document digitization service that identifies printed text characters or image qualities through digital image analysis. Its OCR engine has the power to inspect features character-by-character and translates those characters into specialized identification codes.

Securely increase document processing and organizing efficiency all while reducing errors in your data extraction with Filestack OCR.

OCR for W2s
(and other tax documents)

OCR for Invoices
and Receipts

OCR for Images

OCR for Credit Cards
and Business Cards

OCR for Drivers Licenses,
IDs, and Passports

OCR for Documents

See how easy it can be to instantly transform any file or image.

See Filestack Capture In Action

To understand the power of OCR from Filestack, you have to see it for yourself.  Don’t take our word for it, give it a try

 

Upload your ID or find a sample here and let us show you how simple it can be to extract the data with OCR from Filestack.

Or see our example

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1 Billion+

Files Processed

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99.999%

Successful Uploads
developers

75,000+

Developer Community
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100,000+

Apps Built

Supported Libraries and SDKs

Integrate Filestack into your application in as little as 4 lines of code, no matter what coding language you use.

No matter what language you code in, you can easily implement Filestack onto your application. We are easily implemented in any language. 

Libraries & SDKs -Choose from our SDKs to get started.

<br /><script src="https://static.filestackapi.com/v3/filestack.js "></script><br /><script type="text/javascript">
 const client = filestack.init('YOUR API KEY');
 client.pick();
</script><br />

<br />gem 'filestack'<br />client = FilestackClient.new('YOUR_API_KEY',<br />security: security_object)<br />filelink = client.upload(filepath: '/path/to/file')<br />

<br />$ composer require --prefer-dist<br />filestack/filestack-php</p><p>use Filestack\FilestackClient;</p><p>$client = new FilestackClient('YOUR_API_KEY');<br />$filelink = $client-upload('/path/to/file');<br />

<br />$ pip install filestack-python</p><p>from filestack import Client<br />client = Client("")</p><p>params = {'mimetype': 'image/png'}<br />new_filelink =<br />client.upload(filepath="path/to/file",<br />params=params)<br />print(new_filelink.url)<br />

Scalable

Filestack OCR is scalable to any of your business needs. Our OCR SDK is built to handle data extraction for your small business or large enterprise level corporation.

Accurate

Filestack's Artificial Intelligence and Machine Learning based image and form reading recognition services reduce any possible errors in data entry.

Efficient

Manual data processing isn’t efficient. OCR from Filestack easily integrates with your website or application to allow for quick uploads and accurate data entry, regardless of what coding language you use.

Let's Get Started.

Talk to us about how simple it can be to instantly and automatically transform any file or image.​