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Velrim

Extract data from documents. Know which fields to trust.

Velrim streamlines document data extraction by converting unstructured text into structured, typed objects. Key features include: • Schema-driven data extraction (Zod/Pydantic) • Calibrated confidence scores for every field • Bounding box grounding for source verification • Benchmarked accuracy against leading systems • Review workflow for flagged low-confidence data Velrim ensures data integrity by providing a confidence score for each extracted field. Instead of silently accepting incorrect values or throwing errors, Velrim allows users to set a confidence threshold. Any data point falling below this threshold is flagged for human review, preventing erroneous information from entering databases. This precision is further enhanced by bounding box grounding, which links each extracted value directly to its original location within the document. Built for developers and data teams, Velrim supports common data schemas, providing robust, typed output. Its transparent benchmarking against other services demonstrates its reliability and accuracy across diverse document types. The API offers a cost-effective solution for processing large volumes of documents, with a clear pricing model and a generous free tier for initial exploration. Ideal for businesses handling invoices, receipts, legal documents, or any text-heavy files requiring precise data capture. Velrim simplifies the conversion of complex documents into actionable, structured data, integrating seamlessly into existing data pipelines and review processes.
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