Launch HN: Parsewise (YC P25) – Reason Across Documents with an API
Hacker News gergelycsegzi
Parsewise, a Y Combinator company, launched an API that extracts and transforms unstructured data from multiple documents into schema-compliant structured output while maintaining full lineage tracing. The system uses Gemini models for visual reasoning, vLLMs for parsing, and smaller models for search, achieving state-of-the-art performance on the Databricks OfficeQA benchmark. The platform enables technical teams to validate extracted data quickly with business experts, solving limitations of direct LLM approaches like token limits, latency, and cost.
Why it matters
Hi all, it’s Greg and Max, founders of Parsewise here (https://www.parsewise.ai/api). Parsewise transforms a bucket of unstructured data into schema compliant data, retaining lineage for values resolved across documents.Imagine giving Claude a bunch of files and asking for a CSV or JSON output. If you have tried this, you know both the system limitations (number of files, type of inputs, cost, latency) but also the human-facing challenge of having no way to validate the results quickly. We solve both. We help tech teams simplify their unstructured data ETL, and loop in business experts for the definitions and for instant validation.Here is a video with a few use cases: https://www.youtube.com/watch?v=dbRllnnh47wParsewise in the words of someone coming to us: ”I need to extract information from insurance policy PDFs, phone calls that have been transcribed, emails, etc. I am NOT looking for something that would just extract data point by data point, page by page into a structured well-de
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