No cloud account. Runs on your infrastructure in minutes. docker run and go.
$ docker run -p 8080:8080 ghcr.io/abbyy/fineparser:latest
See how it works
From a raw document to clean DocLang or JSON, entirely inside your own infrastructure.
Pull the container and run it.
$ docker run \
-p 8080:8080 ghcr.io/abbyy/fineparser:latest
POST a document file to the API endpoint.
curl -X POST localhost:8080/parse \
-F file=@form.pdf
Get back DocLang or JSON
A complete document-fidelity stack — structure, tables, layout and text, no microservice sprawl, no external calls.
DocLang, JSON, XML and more — parsed to structured AI ready data.
Latin, Cyrillic, CJK and Arabic recognition out of the box.
Ships as a container and runs entirely in your own infrastructure.
A clean REST interface plus Python and Node SDKs.
The recognition engine trusted by enterprises worldwide, tuned for faithful document structure — not just text.
Every heading, table, and paragraph carries its exact position on the page — not just extracted text.
A single endpoint. Idiomatic SDKs. Predictable data structure.
FineParser is made by ABBYY, the document recognition company founded in 1989, named a Leader in the 2025 Gartner® Magic Quadrant™ for Intelligent Document Processing Solutions. Learn more about ABBYY →
Get early access now to lock in launch pricing.
Get early accessFineParser is a self-hosted, Docker-native document-parsing engine for AI applications, powered by ABBYY FineReader Engine.
Yes — FineParser runs entirely on your own infrastructure via docker run. Register with your email to get a license file instantly, activate the container, and you're parsing right away.
Pricing isn't public yet — FineParser is in early access ahead of launch. Sign up for early access to lock in launch pricing.
All AI formats you need — DocLang, JSON, XML and more.
200+ languages, including Latin, Cyrillic, CJK, and Arabic scripts.
FineParser only requires a connection to a single ABBYY server for subscription validation. The Enterprise tier supports full air-gapped deployment with zero connectivity.