Document extraction ledger

Turn messy files into clean records you can act on

Emails, spreadsheets, chat photos, and scanned forms become one structured ledger — with a work queue, owners, status, approvals, and a link back to the original source for every record.

Talk to us about your documents All products

What it does

Reads the documents you already work in — Gmail, Viber and LINE chats, Drive files, spreadsheets, and photos of handwritten forms

Pulls the fields that matter into clean rows: claim numbers, products, amounts, dealers, dates, and decisions — no re-typing

Gives every record an owner, a status, and a review queue, so nothing sits half-handled in an inbox

Keeps a link to the original message or file behind each row, so any figure can be traced and trusted

Flags low-confidence reads for a human to check before they are recorded, instead of guessing silently

How it works

1Connect your sourcesPoint it at the inbox, chat groups, Drive folders, or spreadsheets your work already lives in. No new system for your team to learn.

2We map your recordsWe set up the fields and statuses for your work — claims, purchase orders, shipments — so each document lands as a clean, consistent row.

3Review and act in the queueRecords flow into the ledger with owners and statuses. Your team reviews flagged items, approves, and exports — every figure traceable to its source.

Core capabilities

One ledger, many sourcesGmail, Viber, LINE, Drive, spreadsheets, and photos feed the same structured table. A claim raised over Viber and confirmed by email becomes one record, not two.

Work queue with owners and statusEvery record has an owner and a state — needs review, approved, rejected, partial. Filter to needs-review and clear the queue instead of scrolling an inbox.

Source and proof trailEach row links back to the exact email or message it came from, with the matched text highlighted. Show where any number came from in one click.

Approvals before it is recordedDecisions from the right person are captured as an explicit step, with who decided and when, so the ledger reflects real sign-off.

Confidence checks, not blind guessesClear reads go straight through; anything uncertain is held for a person to confirm. You see the confidence on every field.

Built for your formatsTuned to your own document shapes, Burmese business names, MMK amounts, and KBZPay / MMQR references — and exports clean CSV.

Proof it’s real

Proven on messy operating records: hundreds of emails and chat threads can become a structured ledger of reviewable claims, decisions, owners, and source-linked evidence.

Who it’s for

Myanmar shops, factories, and distributors whose real work arrives as emails, chat messages, and photos — and the office staff who today re-key all of it into spreadsheets by hand.

Turn messy files into clean records you can act on

Talk to us about your documents