FineParser runs in a CPU-powered container, preserving tables and layout before handing documents to an LLM.
ABBYY has packaged its FineReader OCR engine as a self-hosted tool for turning documents into structured text that AI systems can use.
The company's new FineParser runs in a Docker container on a CPU, without needing a GPU.
ABBYY describes FineParser's approach as "deterministic" AI. Its output can then be passed to a generative AI system, whose responses are less predictable.
The company also offers its own programmable machine-learning framework, NeoML, which is FOSS and available on GitHub.
FineParser itself isn't open source, although ABBYY maintains a GitHub repository for examples and community support. ABBYY says its subscription tiers connect to a license server for validation; an offline deployment needs an Enterprise plan.
ABBYY says FineParser also handles handwriting and more than 200 languages.
ABBYY is betting that its decades-old approach to OCR still has a place in the AI pipeline.
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