AI-OCR Worker

Do not stop at reading documents. Move through review, entry, and follow-up with an AI worker.

Read purchase orders, invoices, and application forms, then handle field checks, ledger preparation, and owner review requests in one workflow. Start where fixed monthly AI-OCR fees feel too heavy for the number of documents you process.

Zemu screen reviewing a purchase order with a faint amount field

Reviewable flow

A faint amount field becomes a review item, not a fake certainty.

When a purchase order has a faint amount field, you can still review the vendor, PO number, item, quantity, unit price, due date, and delivery location. The unclear amount stays in review, while the ledger draft and follow-up wording are prepared in the same flow.

Vendor
ABC Trading
PO number
PO-2026-0615
Item
A-100 / Precision bracket
Amount
Review needed: faint in image

The amount is not guessed as confirmed. It stays in human review, while the vendor confirmation request is drafted.

Purchase order demo image with a faint amount field

Is the work after OCR still manual?

Accuracy alone does not remove the workload. Zemu treats matching, entry, and confirmation after reading as part of the worker's job.

Fixed monthly AI-OCR fees feel too high for dozens to hundreds of documents per month

After OCR, people still check amounts, update ledgers, and ask teammates to confirm exceptions

Document formats vary by customer, so template setup and maintenance become their own workload

Work is scattered across email, chat, spreadsheets, and accounting tools

From reading to follow-up in one flow

The user decides which document type to delegate. Extraction, checks, entry, and exceptions happen inside one worker.

Receive PDF or image documents and identify what needs processing

Extract part numbers, quantities, amounts, dates, and separate fields that need human review

Prepare output for Google Sheets, CSV, or an internal ledger format

Ask owners to confirm missing, suspicious, or low-confidence fields through Slack, Chatwork, or email

Manage by document type, one worker each

Users should not manage extraction workers and entry workers. They see business units such as purchase order worker or invoice worker.

Purchase order worker: organize part numbers, quantities, delivery dates, and customer-specific fields

Invoice worker: check invoice amount, due date, vendor, and tax fields

Application form worker: identify missing required fields and follow-up items

Inspection report worker: organize results, anomalies, and items that need return

Template & Chat Customization

Install from a template. Tune the details in chat.

Teams can start from the official purchase order AI worker template. After installation, they can adjust extracted fields, review conditions, destinations, and notifications in chat.

Create a purchase order AI worker from an official template

Route only low-confidence or incomplete fields to human review

Prepare CSV, Google Sheets, or internal ledger outputs

Tune customer-specific exceptions and follow-up wording in chat

Start with the purchase order AI worker

Start from a template that receives PDF/image purchase orders, extracts required fields, prepares review and entry drafts, and generates follow-up messages.

Discuss rollout