Introducing ExtractBee: AI Document Extraction Without Templates

Introducing ExtractBee: AI Document Extraction Without Templates

Every accounting team has a version of the same problem.

Invoices arrive by email — from dozens of different vendors, in dozens of different formats. Someone opens each one, reads the vendor name, invoice number, date, and total, and types it into a spreadsheet or accounting system. Then they file the PDF somewhere and move on to the next one.

It's not complicated work. It's just relentlessly repetitive. And repetitive work done by humans produces errors.

We built ExtractBee to eliminate this entirely.

What ExtractBee Does

ExtractBee is an AI-powered document extraction platform. You send it a document — an invoice, receipt, purchase order, bank statement, or contract — and it returns structured data: every field, correctly identified, ready to export or sync to your accounting software.

No templates. No rules. No configuration per vendor.

Upload an invoice from a supplier you've never processed before and it extracts correctly on the first attempt. Upload the same invoice after the supplier has redesigned their layout and it still extracts correctly — because ExtractBee reads documents semantically, the way a human would, not by matching text to predefined positions.

How It Works

Updated June 2026: ExtractBee now runs Gemini 2.5 Flash as the primary extraction model, with Claude as the automatic fallback.

ExtractBee combines two technologies:

OCR pre-processing for scanned documents. When a document is a scanned image rather than a digital PDF, Tesseract OCR converts the image to machine-readable text. This step runs automatically when needed — you don't configure it.

Frontier LLMs for semantic extraction. A large language model reads the document text and extracts structured fields: vendor name, invoice number, dates, line items, totals, VAT, payment details, and more. ExtractBee runs Google Gemini 2.5 Flash as the primary extraction model, with Claude Sonnet 4.6 (Anthropic) as an automatic fallback when the primary returns a recoverable error — so an extraction rarely fails outright. The model understands accounting documents and doesn't need a template to know that the number after "Invoice No:" is the invoice number.

After extraction, a position resolver maps each extracted field back to its location on the original document. This powers the document preview — when you review an extraction, you can see exactly where on the page each field came from.

What We Built

Zero-configuration extraction Upload any document and extraction runs immediately. No setup per document type, no rules per vendor, no training period.

Common business document types ExtractBee handles invoices, receipts, bank statements, contracts, purchase orders, CVs/resumes, and bills of lading out of the box — with more types added based on user demand.

Field-level confidence scoring Every extracted field has a confidence score. Fields below your threshold are flagged in the Human Review UI — you review and correct them before data leaves ExtractBee. (For more on what those numbers mean, see how confidence scores work.) This means errors are caught before they reach your accounting system, not during month-end reconciliation.

Human Review UI A dedicated interface for reviewing flagged extractions. You see the original document alongside the extracted fields, with uncertain fields highlighted. One click to correct, one click to approve.

Email ingestion Every workspace gets a unique email address. Forward invoices to that address — from your suppliers directly, or via a Gmail/Outlook filter — and they're extracted automatically. No uploads required.

Native accounting integrations Direct connections to Xero and QuickBooks. Extracted invoice data is pushed as draft bills — your accountant reviews and approves in the accounting software's normal workflow. (See how this fits an end-to-end pipeline in our guide to automating invoice processing.)

Google Sheets and OneDrive For teams who track documents in spreadsheets or sync them to cloud storage, extracted data is appended to a sheet or synced to a folder automatically after each extraction.

Slack and Microsoft Teams Get notified in your channel when an extraction completes or needs review, so nothing sits unnoticed in a queue.

Make.com For custom automation workflows, ExtractBee triggers on extraction completion. Downloadable Make.com blueprints cover the most common workflows out of the box — and reach tools like Airtable and Notion through Make.com when you need them.

REST API Full programmatic access for teams building extraction into their own applications. Scoped API keys on all paid plans; HMAC-signed webhook delivery on Business and above; batch upload on Pro and above.

Who It's For

ExtractBee is built for teams who process business documents regularly but don't want to build or maintain document processing infrastructure.

Accounting firms processing invoices from many different clients and vendors — each with different formats, none requiring a template.

Finance teams at SMBs where someone spends hours per week on invoice data entry that should be automated.

Operations teams who receive purchase orders, delivery notes, or other documents that need to be tracked in a spreadsheet or database.

Developers who need accurate document extraction via API without building the extraction pipeline themselves.

Why "Without Templates" Matters

The phrase "without templates" sounds like a minor product feature. It isn't.

Template maintenance is the hidden tax of every document extraction tool that came before. For every new supplier you work with, you create a template. For every supplier who updates their invoice design, you fix a broken template. For every edge case — the invoice with an extra section, the one formatted differently because the supplier switched accounting software — you either fix the template or handle it manually.

An accounting firm processing invoices for 30 clients might have 200+ active parsing templates. Each one represents setup time and ongoing maintenance. Each one is a potential failure point.

ExtractBee has zero templates. There's nothing to maintain, nothing to break, nothing to rebuild when a supplier changes their layout. The AI reads the document — any document — and extracts the fields. (For the deeper distinction here, see OCR vs. AI document extraction.)

This is what "without templates" actually means.

What Happens When Extraction Is Uncertain

AI extraction is not perfect. Occasionally a document is ambiguous — a date that could be read two ways, a total that's partially obscured by a stamp, an invoice number in an unusual position.

For these cases, ExtractBee has the Human Review UI.

When a field's confidence score falls below your threshold, the document is held in a review queue. A notification goes to your team. When someone opens the queue, they see the original document alongside the extracted fields — uncertain fields highlighted, with their location on the page marked. They confirm or correct the value and approve the extraction. The whole review takes 30–90 seconds per document.

This is the difference between "automated extraction" and "reliable automated extraction." The automation handles 85–95% of documents without human involvement. The Human Review step ensures the remainder is handled correctly before data reaches your accounting system.

Security and Data Handling

ExtractBee is EU-hosted (Vilnius, Lithuania), operated by MB Dokigo, a Lithuanian company subject to Lithuanian and EU data protection law.

Data isolation: Each workspace's data is encrypted with a unique key derived from the workspace ID. One tenant's data is not accessible by another.

File storage: Documents are stored on Cloudflare R2 with per-tenant prefixes. Direct URL access is blocked — all file access goes through the ExtractBee API, which enforces access controls.

AI processing: Document content is processed by Google (Gemini API, primary) and Anthropic (Claude API, fallback) as sub-processors. Neither provider uses ExtractBee API inputs to train its models, per Google's Gemini API and Anthropic's commercial API terms for paid customers.

Retention: Default retention is indefinite. You can configure shorter retention (24h, 7d, 30d, 90d) or delete individual documents at any time.

A Data Processing Agreement is available on request for customers who need it for their own compliance obligations.

Pricing

ExtractBee is available on a free plan — 20 pages per month, no credit card required. Paid plans start at €35/month for 300 pages.

All prices are EUR, exclusive of VAT.

Try It

The fastest way to see whether ExtractBee works for your documents is to upload one.

Create a free account →

No credit card. No setup. Upload a document and see what comes back.

We'd love to hear what you think.

ExtractBee is operated by MB Dokigo, Vilnius, Lithuania.