Extract key information from invoices using pattern recognition. Supports digital and text-based invoices.
This tool runs 100% in your browser. All computation happens locally on your device — your input is never uploaded to any server. Results are for reference only.
Extraction is a pattern-recognition pipeline with an optional AI upgrade. The engine scans your invoice — pasted text, a PDF, or a scanned image (OCR via Tesseract.js) — and applies labeled-field regex patterns to find vendor, invoice number, dates, totals, and tax. It then isolates candidate lines that contain currency amounts to build the line items. When a local LLM is loaded, the same raw text is passed to the model for more robust parsing; otherwise the deterministic pattern engine stands in.
Text, PDF, or scanned image enters; a structured invoice object (with line items and totals) comes out, ready for CSV or accounting export.
Priya is reconciling her monthly spending. She uploads the CloudHosting invoice PDF and lets the extractor pull out the vendor, dates, totals, and every line item before exporting to her accounting software.
To extract invoice data: upload your invoice image or PDF — the AI reads vendor, date, amounts, line items, and tax, outputting structured JSON or CSV.
FreeToolHub AI Invoice Extractor is a free browser-based tool that extracts structured data from invoices using OCR and AI, no signup.
Extract vendor, invoice number, dates, amounts, and line items from invoice PDFs/images. OCR + AI. 100% local, no upload, free, no signup.
The AI Invoice Extractor turns invoice PDFs, images, or pasted text into structured data you can actually use. Feed it one file or a batch and it pulls out the vendor name, invoice number, issue and due dates, total and tax amounts, currency, line items with quantities and prices, and a payment status. Scanned invoices are handled too: Tesseract-based OCR runs in your browser to read image files before parsing begins. An optional local AI model improves messy layouts and line-item accuracy, with pattern recognition always available as a fallback. Results can be exported as a standard CSV, a formatted text report, or an accounting-ready CSV with debit and credit columns.
Freelancers and small agencies use it to digitize supplier bills without paying for an enterprise document platform. Bookkeepers and accountants process the monthly invoice pile in batch mode, which shows per-file progress and flags duplicate invoices automatically. Finance teams at startups reconcile expenses and hand clean CSV exports straight to QuickBooks, Xero, or a spreadsheet. Office managers who receive scanned receipts and photos of paper invoices benefit from the built-in OCR step. Because every file is parsed on the local machine, it also fits practices handling client billing records they cannot legally upload to a third-party cloud service.
(1) Choose an input mode: upload a single file, paste raw invoice text, or switch to batch and select many files at once. (2) Run extraction. A scan overlay walks through the stages: reading the document, locating the vendor and invoice number, finding dates and payment terms, then parsing amounts and line items. If no AI model is loaded, the tool says plainly that it is using pattern-based extraction and offers to load one for better accuracy. (3) Review the structured result, including the detected currency (US dollars, euros, or pounds) and itemized lines. (4) Export to CSV or accounting format, or route the invoice through the approval panel with an assignee and notes.
The headline output is an accounting workflow. The standard CSV lists every field, including vendor, number, dates, totals, tax, and currency, in columns a spreadsheet opens cleanly; the accounting export goes further, breaking line items into debit and credit rows that match double-entry bookkeeping. In batch mode you also get rollups by currency and by vendor, so a stack of receipts becomes a spend summary without extra formulas. Each invoice can be marked pending, paid, or flagged for review, and the approval panel lets you assign a reviewer and attach notes, turning raw extraction into a lightweight audit trail. Fields stay editable, so you can correct any misread value before exporting.
It extracts: vendor name and address, invoice number, issue date, due date, subtotal, tax amount (with rate), total amount due, payment terms, and individual line items (description, quantity, unit price, extended price). Output is structured JSON or CSV, ready for import into QuickBooks, Xero, or FreshBooks accounting software.
Yes. Upload multiple invoice PDFs or images, and the tool processes each sequentially, extracting all fields and compiling results into a single CSV export. A batch of 20 invoices processes in 2-4 minutes. This eliminates manual data entry that typically takes 3-5 minutes per invoice—saving 1-2 hours for a 20-invoice batch.
No. OCR (Tesseract.js) and data extraction run entirely in your browser. Invoice images and extracted data never leave your device. This is critical for accounting firms handling client financials under confidentiality agreements and businesses subject to SOC 2 or PCI-DSS data handling requirements.
This tool is also known by these tasks — each link opens the same tool with a focused guide:
What do you call a crab that plays baseball?
No paywalls, no signups, no data sold. Built by a solo developer who believes useful tools should be accessible to everyone.
☕Support me on Ko-fi— keep tools free100% of proceeds go towards hosting & building more free tools.