Short answer: the best way to automate invoice processing depends on volume and how varied your suppliers’ layouts are. For a handful of invoices a month, use the bill-capture feature in your accounting software or an AI assistant such as ChatGPT, Claude or Gemini, and check the output. For steady volumes with standard invoices, use dedicated invoice-capture (OCR) software. For high or messy volumes with custom fields, such as delivery notes, bills of lading or claim forms, pay for a done-for-you extraction service or a custom build that outputs straight to your spreadsheet or accounting import file. Whatever you choose, keep a person checking low-confidence fields.
The six options compared
| Option | How it works | Cost model | Your effort | Best for |
|---|---|---|---|---|
| 1. Manual entry with a template | A person types each invoice into a standard sheet | Staff time | High, every month | Very low volumes |
| 2. Your accounting software’s bill capture | Forward or upload bills; the software reads supplier, date and totals | Often included in, or added to, your plan (QuickBooks, Xero, Zoho Books and Sage offer capture features on some plans) | Low to set up; review each bill | Standard supplier bills going straight into accounts |
| 3. A general AI assistant | Upload PDFs to ChatGPT, Claude or Gemini and ask for a table | The assistant subscription | Medium: repeat the prompt each batch and check every row | Occasional batches; testing what is possible |
| 4. Dedicated invoice OCR / document AI software | Tools such as Dext, Docparser, Nanonets or Rossum learn your fields and export them | Monthly subscription, often by document volume | Medium: you configure fields and rules | Steady volumes and an in-house admin to run it |
| 5. Outsourced data entry / managed extraction | A provider processes your batches with AI plus human review and sends back a file | Per batch or per document | Low | Back-logs, seasonal peaks, or when you never want to run software |
| 6. Done-for-you custom build | A reader is built on your own documents and fields, branded and handed over; you own it | One-off setup plus optional care; for example Ananke Digital’s AI invoice & document reader from KSh 150,000 in Kenya or US$2,500 internationally | Low after a short scoping call | Recurring volumes, mixed layouts, custom columns, documents beyond invoices |
Tool names are examples, not endorsements, and features and prices change. Check each vendor’s own site.
How to choose in five questions
- How many documents a month? A few dozen: options 2 or 3. Hundreds or more: options 4, 5 or 6.
- How varied are the layouts? Many suppliers, scans, phone photos and handwritten notes favour tools with human review (5) or a build tested on your worst samples (6).
- Which fields do you need? Supplier, date, number, totals and tax are standard. Line items, container numbers, patient or policy numbers and custom columns usually need configuration (4) or a custom build (6).
- Where must the data go? Straight into accounts favours option 2. A spreadsheet, a CSV import file or several systems favour 4 or 6.
- Who will look after it? If nobody in-house has time to configure software, choose 5 or 6.
Set it up properly: a checklist
- Write down the exact fields and the output format before choosing a tool.
- Collect your ten worst real samples, such as blurred scans and odd layouts, and test on those, not on clean examples.
- Keep a person reviewing anything flagged as low-confidence, and every total above a threshold you choose.
- Check for duplicate invoice numbers per supplier before anything is paid.
- Decide where documents are stored and who can see them. In Kenya, personal data in documents falls under the Data Protection Act, 2019; elsewhere, follow your local law.
- Measure minutes per invoice before and after, so you know it worked.
What accuracy can you expect?
Clean, typed PDFs from regular suppliers are read well by modern tools. Accuracy drops with poor scans, stamps over figures, handwriting and unusual layouts. Be wary of anyone promising 100%. A good set-up tells you which fields it is unsure of so a person checks those, rather than silently guessing.
Frequently asked questions
What is the cheapest way to automate invoice data entry?
Use the bill-capture feature already in your accounting software, if your plan includes it, or upload occasional batches to an AI assistant and check the result. Both cost little beyond subscriptions you may already pay.
Can ChatGPT extract data from invoices?
Yes, it can read uploaded PDFs and images and return a table, which works for occasional batches. You have to repeat the process each time, check every row, and think about what data you upload. For recurring volumes, a set-up tool or build is more reliable.
Is there a done-for-you invoice extraction service?
Yes. Some providers process your batches for you with AI plus human review. Others, such as Ananke Digital, build an invoice and document reader on your own documents that you then own and run, with optional monthly care.
How long does it take to automate invoice processing?
Turning on built-in bill capture can take a day. Configuring dedicated software takes days to weeks, depending on your fields. A done-for-you build is usually delivered in days after the scope is agreed.
Can it handle delivery notes, bills of lading and claim forms too?
Many dedicated and custom tools can, as long as the fields are defined. Ananke Digital’s reader is built for invoices, delivery notes, packing lists, bills of lading and claim forms.
See it on your own file: book a 15-minute demo of the AI invoice & document reader, or read how much AI automation costs.