Document extraction for non-Latin scripts
Your bilingual staff spend their day retyping what is already on the page.
Mudra reads your scanned documents in the script they were written in and pulls out the fields your team keys in by hand.
Book a 10-minute call ↓Get started
Start with a ten-minute call
Tell us what documents you process and which fields your team keys in by hand. If it looks like a fit, we will ask for twenty real pages, bad scans included, and show you what comes off them.
The problem
Re-keying is the bottleneck
Your best readers are doing data entry
You hired people who can read a contract in Arabic or a permit in Cyrillic and tell you what matters. Most of their day goes to typing names, dates, and numbers into a form.
Mistakes surface downstream
A transposed date or a misread name is rarely caught at intake. It is caught at filing, or by the client, after the file has already moved. Then someone has to walk it back.
Volume is capped by headcount
Throughput is limited by how many pages one person can read in a day. Taking on more work means another hire, and months before that hire is fast enough to help.
Why generic tools fail
English is the easy case
Off-the-shelf OCR was built for clean, printed English on a flat page, and it holds up there. It comes apart on the rest of what you process. Right-to-left text and joined scripts. A stamp or a signature sitting on top of the words. A table on the top half of the page and handwriting on the bottom. A photocopy of a fax of an original.
The output still looks plausible, which is the expensive part. A wrong field that reads like a right one goes straight through.
How it works
Three steps, start to finish
Step 01
Send us pages
Twenty pages of the documents you actually handle, and the fields your team pulls off them. Send the real ones, including the faint scans and the crooked ones. You do not need to prepare anything.
Step 02
See it on your own documents
We come back with the fields read off each page, shown next to the original so you can check any value against the source. We also tell you how often we got each field right, and where we did not. If it is not good enough for your work, you have spent an email.
Step 03
Your team stops retyping
Pages go in and fields come out in the format your system already takes. Anything we are not confident about is flagged for a person to look at rather than guessed, so the checking happens at intake instead of at filing.
Accuracy
Measured, not asserted
Here is how we score against a common off-the-shelf tool on the same set of pages.
| Measure | Mudra | {{BASELINE_TOOL}} |
|---|---|---|
| Fields extracted correctly | {{OUR_ACCURACY}} | {{BASELINE_ACCURACY}} |
| Pages tested | {{PAGE_COUNT}} | {{PAGE_COUNT}} |
| Scripts tested | {{SCRIPTS_TESTED}} | {{SCRIPTS_TESTED}} |
Those are our numbers on our test set. The one that should decide it is the same comparison run on your pages, which we do before you commit to anything.
Who this is for
Built for the desks doing the keying
Translation and apostille services
We read the source document and pull the fields your team would otherwise re-key. Certified translation and apostille issuance stay with your translators and the issuing authority.
Immigration practices
Birth certificates, marriage records, police clearances, and identity documents arrive in whatever script and condition the client had them in. The fields come out in a consistent form.
Customs brokers and freight forwarders
Commercial invoices, packing lists, and certificates of origin from suppliers who do not file in English. Line items and party details extracted per shipment.
Records-heavy back offices
Claims, applications, and case files that arrive as scans and have to be keyed into a system of record before anyone can act on them.
Data handling
Custody and retention
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FAQ
The questions we get first
Why not just use ChatGPT or Gemini?
Those are general-purpose assistants. They are not set up to take a batch of scanned pages, pull the same fields off every one, show you the source page next to each value, and flag what a person still needs to look at. That is the part we build. And we measure how often we get your fields right, on your own documents, before you commit to anything.
What happens to our documents?
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How long does setup take?
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What does it cost?
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Ten minutes, and your worst documents
If your team is still retyping what is already on the page, that is the whole conversation.
Book a 10-minute call ↑