dOCR

dOCR

dOCR, Inc.
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About

Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours.

About

dOCR is a document data-extraction API and dashboard. You send a document — a PDF, image, scan, or Word file — and dOCR returns structured JSON with the fields you need, not raw OCR text. It ships with 15+ built-in document types (invoices, receipts, bank statements, pay stubs, W-2s, 1099s, driver's licenses, passports, utility bills) and supports custom types. Developers integrate via a REST API with webhooks, IP allowlisting, and a choice of processing modes (highest quality or fastest); non-technical users extract ad-hoc through the web dashboard. Powered by vision LLMs (Claude Opus, Gemini) and OCR — no parsing pipelines to build or maintain. Free tier: 50 pages/month.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies that want to easily extract text and data from virtually any document

Audience

Developers and business teams who need to extract structured data from invoices, receipts, IDs, bank statements, tax forms, and other documents — without building OCR pipelines.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

$49/month
Free for 50 pages/month; paid
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/textract/

Company Information

dOCR, Inc.
docr.dev

Alternatives

Alternatives

Categories

Categories

OCR Supported

Integrations

AWS AI Services Supported
AWS App Mesh Supported
Amazon Augmented AI (A2I) Supported
Amazon Quick Suite Supported
Bika.ai Supported
Camunda Supported
Datasaur Supported
ElectroNeek Supported
FormKiQ Supported
Kognitos Supported
Mantium Supported
n8n Supported

Integrations

AWS AI Services Not Supported
AWS App Mesh Not Supported
Amazon Augmented AI (A2I) Not Supported
Amazon Quick Suite Not Supported
Bika.ai Not Supported
Camunda Not Supported
Datasaur Not Supported
ElectroNeek Not Supported
FormKiQ Not Supported
Kognitos Not Supported
Mantium Not Supported
n8n Not Supported
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