One API call replaces the entire document processing pipeline. You send multiple documents and a desired output schema; you get back resolved values, flagged contradictions, and full lineage down to the source words, pages, and documents, with bounding boxes you can embed directly into your own UI for human validation. No parsing, classification, stitching, or custom verification interface to build or maintain.
Having seen Parsewise provide tremendous value in production for our enterprise customers (incl. UBS, Compre Group, Thinksurance), we are excited to launch our API!
The Problem Today, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.
The Solution We provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.
Get Started ================================================= Sign up with free credits: https://www.parsewise.ai/get-started (use the Agents.md for a 1m integration) =================================================
The contradiction-detection feature is the part most agent doc tools skip. The honest question I have: when two documents contradict, who decides which one wins? Do you surface both to a human reviewer with the conflict highlighted, or does the agent pick a winner and log the call?
Asking because the regulated customers you listed (UBS especially) presumably need an audit trail on that decision, not just the final value.
The lineage-down-to-bounding-boxes is the part I'd actually pay for — most extraction APIs hand you a value plus a confidence score and leave you to trust it. But bounding boxes only make sense for visual docs; when the source is a spreadsheet or plain text, what does "lineage" resolve to — a cell reference, a line number, nothing? The human-validation UI only works if every value points back to something clickable.
contradiction detection across documents is the part most people build manually and badly. when your agent pulls data from 3 sources and they disagree, knowing which one to trust without a human checking every time is a hard problem. how does the lineage tracing work in practice
How does it handle documents with different formats in the same call say a scanned PDF, a spreadsheet, and a plain text file? Does accuracy drop when mixing formats?
About Parsewise API on Product Hunt
“API for agentic multi-document processing”
Parsewise API launched on Product Hunt on May 26th, 2026 and earned 122 upvotes and 12 comments, placing #11 on the daily leaderboard. One API call replaces the entire document processing pipeline. You send multiple documents and a desired output schema; you get back resolved values, flagged contradictions, and full lineage down to the source words, pages, and documents, with bounding boxes you can embed directly into your own UI for human validation. No parsing, classification, stitching, or custom verification interface to build or maintain.
Parsewise API was featured in API (98.2k followers), Developer Tools (513.4k followers) and Artificial Intelligence (469.9k followers) on Product Hunt. Together, these topics include over 177.7k products, making this a competitive space to launch in.
Who hunted Parsewise API?
Parsewise API was hunted by Greg Csegzi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Parsewise API stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Greg Csegzi
Hello from Greg, Max and the Parsewise team!
Having seen Parsewise provide tremendous value in production for our enterprise customers (incl. UBS, Compre Group, Thinksurance), we are excited to launch our API!
The Problem
Today, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.
The Solution
We provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.
Get Started
=================================================
Sign up with free credits: https://www.parsewise.ai/get-started
(use the Agents.md for a 1m integration)
=================================================