Overview
Description
The big picture: docTR turns documents into structured data with deep-learning OCR that anyone can use — no AI expertise required. Here's why it matters: extract text from PDFs, images, and web pages with state-of-the-art accuracy, then integrate results via a simple API or Docker container. The bottom line: go from paper to searchable, usable data in minutes.
Technical scorecard
License
Apache-2.0
Commercial use
Yes
OpenAI-compatible API
No
REST API
Yes
Fine-tuning support
No
Quantization support
No
Docker available
Yes
GUI / no-code available
Yes
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying docTR in production?
Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for docTR.
Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/mindee/doctrHardware Requirements
Works Well With