SynthesisLogic

How to automate data entry

An agent that reads orders, invoices, forms and delivery notes from email, scans and portals, checks every value against your records and enters the clean ones into your system, leaving doubtful ones to a person. Below: real examples, the steps to set it up, how it connects to the tools you use, and the pitfalls.

Public examples

Built by other companies and vendors, with figures exactly as their sources publish them. They are not our clients; follow each source for the full story.

A-Scan · business process outsourcing, Central Europe
Cloud AI extracts invoice data for 91% of its extraction volume, replacing template-based tools.
Result: "80%" time saved per document; "17 seconds average validation time per document".
Source: Rossum, year not stated
Deppeler SA · dental instrument distributor, Switzerland
An assistant reads orders sent as PDF or Excel by email and writes them into Odoo.
Result: processing time reduced by 70%; errors reduced by 95%.
Source: automaited, year not stated; vendor case study
Valtatech · source-to-pay automation, country not stated
AI extraction for over 20,000 invoices a month across 60+ templates.
Result: under 5 minutes per invoice at 98% accuracy, 65% lower data processing cost.
Source: Bookipi, year not stated; secondary article, the original Valtatech source was not found

How it is set up

  1. Collect inputs from every channel: email attachments, a shared mailbox, portal downloads and scanned PDFs. Route each file to a queue with its sender and received time.

  2. Extract fields with an LLM or document model into a fixed schema (vendor, invoice number, date, line items, tax, total). Store the raw text and the source page next to each value.

  3. Validate with rules before anything is written: totals match line items, tax ID format, duplicate invoice number, known vendor, currency and date range.

  4. Send low-confidence or failed-rule documents to a person in a review screen that shows the PDF beside the extracted fields. Approved records only continue.

  5. Write approved records to the system of record through its API or import template, and keep the external ID so a retry does not create a duplicate.

  6. Log each run (document ID, model version, rule failures, reviewer edits) and track the correction rate weekly. Rising corrections on one vendor or template means the schema or prompt needs work.

Rather not build and maintain it yourself?

We build this agent around your own process, connect it to your tools, and keep it working as things change. You approve what matters; every action is logged.

Connecting your tools

Odoo
official External JSON-RPC/XML-RPC API to create and update invoices, partners and products. Docs
QuickBooks Online
REST API with OAuth 2.0 for bills, vendors and attachments. Docs
Xero
REST API with OAuth 2.0 for bills (invoices of type ACCPAY) and contacts. Docs
Google Sheets
REST API to append and read rows; often used as a review staging table. Docs
Microsoft Excel workbooks
Microsoft Graph Excel API for tables in OneDrive or SharePoint. Docs
Gmail
Gmail API (OAuth) or IMAP to read incoming attachments. Docs
Salesforce
REST API for custom objects that hold extracted records. Docs

Questions people search for

How to automate data entry from Excel to web

Use a script or an automation tool that reads rows from the workbook and submits them through the site's form or API. If the site has an API, call it directly, since form automation breaks when the page changes. Use Playwright for sites without one (playwright.dev. Read the workbook with openpyxl (openpyxl.readthedocs.io) and keep a log of which rows were submitted.

How to automate data entry from PDF to Excel

Extract text and tables with a PDF parser (pdfplumber or Azure AI Document Intelligence, learn.microsoft.com) and map the fields to columns. Check totals and required fields before writing, and send low-confidence rows to a person. Write the result with openpyxl or pandas (pandas.pydata.org.

How to automate data entry in Google Sheets

Use the Sheets API to append or update rows (developers.google.com, or Apps Script inside the sheet for simple triggers (developers.google.com. Feed the input from a form, an email attachment or a PDF extractor. Keep one row per source document with its ID, so a retry does not add the same row twice.

How to automate data entry with AI

Use an LLM to pull the fields from unstructured input into a fixed schema (JSON output), then validate the result with rules before writing. The model does the reading; code does the checks and the write. Keep a human review step for rows that fail a check.

How to automate data entry into a website

If the site has an API or import file, use it. Otherwise use browser automation (Playwright, playwright.dev) with a dedicated login, and stop the run on any unexpected page. Re-test the steps after each site change.

Pitfalls

  • Duplicate postings when a retry runs after a timeout. Teams store the source document hash and the target external ID, and check both before every write.
  • Template drift: a vendor changes its invoice layout and accuracy drops without an error. Teams track accuracy per vendor and sample documents every week.
  • Silent wrong values (a total read as a tax, a date in the wrong format). Teams keep hard totals and date checks and never post a record that fails them.
  • Personal data in scanned documents (bank details, IDs) sent to a third-party model. Teams check the processor's data terms and mask fields that are not needed.

Want this working in your company?

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