Finance and accounting decision
Getbeel
A competent developer can build a narrow self-hosted invoice-collection and matching workflow, but reproducing Getbeel's extraction accuracy, connectors, polish, and operational reliability at scale would be costly; consider running or adapting prior-art projects first.
Visit website↗Built by Borja Soler, who ships 3 products in this index
$29/mo
$348/yr
Read off the official pricing page.
$100one-off120 h to build
$200/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 8 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Continuously poll user email, extract invoice data and PDF attachments, store structured invoice records, match invoices to uploaded bank statement transactions, surface results in a web dashboard with download and accountant access.
What it still won’t have
- Polished, proprietary extraction ML and ongoing accuracy tuning
- Multiple built-in third‑party connectors and coming integrations pack
- SLA, operational hardening and built-in GDPR/enterprise compliance claims as provided by vendor
- Product polish: onboarding flows, analytics, and customer support
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 8 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted invoice-collector web app using: Next.js frontend, Node.js/Express API, Postgres for structured data, S3-compatible object storage for PDFs, Redis + BullMQ for background jobs, and Tesseract or a paid OCR API (configurable). Core features in scope: OAuth Gmail connector (or IMAP fallback) to fetch messages and attachments; pipeline to detect invoice PDFs, run OCR, and extract vendor/date/amount/invoice-number; persistent storage of PDFs and structured records; upload bank statement CSV and implement exact/fuzzy matching against invoices with a manual-review UI; simple role-based dashboard (owner, accountant invite) with PDF download and export. Out of scope: training custom ML models, advanced multi-account billing, and enterprise SSO. Include robust error handling, retries for transient API failures, automated tests for extraction and matching logic, and deployment manifests (Docker Compose and a simple cloud host guide).
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score62
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productGetbeel - official product
- official pricingGetbeel Pricing
- official docsGetbeel - For Accountants
Integrity checks
What held up, and what did not.
