What you get

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.

What we build

Two capabilities. Use them together, or on their own.

The spine

Document extraction

OCR, handwritten text recognition, and table extraction across regional scripts, verified by a person before it ships.

On your data

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.

Examples

Before & after. The extraction, not just the pitch.

Source document beside the structured output produced from it.

French · printed table, 3-level merged header
French printed table 'Villes de France' with a three-level merged header (region, half, group)
Source · tap to enlarge
ABCDEFGHIJKL
1VILLES DE FRANCE
2MOITIÉ NORDMOITIÉ SUD
3NORD — GROUPE 1NORD — GROUPE 2SUD — GROUPE 1SUD — GROUPE 2
4AmiensAngersArgenteuilMulhouseMâconNancyAgenAix-en-ProvenceAjaccioLimogesLourdesLyon
5AuxerreBeauvaisBelfortNanterreNantesNeversAlbiAngoulêmeAnnecyMarseilleMendeMenton
6BesançonBrestCaenParisQuimperReimsAntibesArlesAurillacMillauMontaubanMontluçon
7CalaisChalon-sur-SaôneCharleville-MézièresRennesRoubaixRouenAvignonBastiaBayonneMontpellierMoulinsNarbonne
8Cherbourg-en-CotentinChâlons-en-ChampagneColmarSaint-BrieucSaint-DenisSaint-LôBiarritzBloisBordeauxNiceNiortNîmes
9CompiègneCréteilDeauvilleSaint-MaloSaint-NazaireSaint-QuentinBourgesBéziersCahorsOrléansPauPerpignan
10DijonDoleDouaiSaumurSensSoissonsCannesCarcassonneChambéryPoitiersPrivasPérigueux
11DunkerqueFontainebleauHonfleurStrasbourgThionvilleTourcoingChamonix-Mont-BlancChartresChâteaurouxRodezSaint-TropezSaint-Étienne
12LaonLavalLe HavreToursTroyesValenciennesClermont-FerrandDigne-les-BainsDraguignanSarlat-la-CanédaSèteTarbes
13Le MansLensLilleVannesVersaillesVesoulFoixGapGrasseToulonToulouseValence
14LorientMetzMontreuilÉpernayÉpinalÉvreuxGrenobleGuéretLa RochelleVichyVillefranche-sur-SaôneÉvian-les-Bains
Extracted to Excel · 3-level merged header kept intact, every city in the right group Download .xlsx
Arabic · handwritten note on lined paper
Handwritten Arabic note on lined paper asking to cancel a monthly subscription
Source · unedited

ارجو الغاء اشتراكي الشهري رقم ٤٥٨٢١٧
اعتباراً من نهاية هذا الشهر وتاكيد ذلك
عبر البريد الالكتروني. شكراً لكم.

“Please cancel my monthly subscription, no. 458217, from the end of this month, and confirm this by email. Thank you.”

Extracted & verified · editable text, with English translation

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.

Try it

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.

What clients say

Built by Riva Malik and Shaheema. About us →

Start a conversation

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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