Messy real-world documents, returned as data and decisions you can trust.
Handwritten intake forms. Multi-column tables a general model quietly mangles. We build the extraction pipeline and verify the output by hand. Then we can turn that data into a dashboard and analysis, or do the same for data you already have.
Two capabilities. Use them together, or on their own.
Document extraction
OCR, handwritten text recognition, and table extraction across regional scripts, verified by a person before it ships.
Document analysis & dashboards
A dashboard and analysis built from what we extract for you, or from data you already have. Either way, something a decision-maker can actually use.
Before & after. The extraction, not just the pitch.
Source document beside the structured output produced from it.
Why not just use a general AI model? They're confident exactly where they're wrong: messy handwriting, regional scripts and merged tables. Every delivery we ship is checked against the source by a person.
Run one of your own documents through it.
Sign in with a free Hugging Face account, upload an image, and pick a language: English, French, German, or Arabic. This is the raw model output. Client work gets checked by a person before it ships.
This is a demo, not the finished product.
- You can test one document per day.
- Don't upload any document with personal or sensitive information.
Open the demo on Hugging Face →
It opens in a new tab. The first run after a quiet spell can take a minute to wake up. See what happens to your upload.
Built by Riva Malik and Shaheema. About us →
Tell us about the documents
What they are, roughly how many, and what you need out the other end: a structured dataset, an API, or a dashboard. A founder replies, and scope and pricing are worked out off-site.
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