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.
The standard header fields: invoice number, issue and due dates, vendor and bill-to names, subtotal, tax, total, and currency, plus line items with description, quantity, unit price, and amount where present. The output is structured data you can review, edit, and copy — ready for pasting into accounting software or a spreadsheet. Field availability depends on the invoice layout; unusual formats may need manual correction of one or two fields.
Upload mode takes PDF or image invoices and reads them with OCR plus document understanding — best for real files from email or scanners. Text mode takes pasted invoice text (copied from an email body or an existing export) and parses it directly — faster and more reliable when the text is already clean. Both produce the same structured result; pick text mode whenever you can copy the text easily.
On clear digital invoices (generated PDFs, clean scans), header fields extract near-perfectly and line items are usually complete. photographed invoices with glare, skew, or low resolution lose accuracy progressively. The interface shows per-field confidence so you know where to double-check, and every extraction is editable — review totals and dates against the source before committing to your books.
Yes — batch mode accepts multiple files and extracts them sequentially, producing one structured result per invoice. It runs locally, so batch size is bounded by device speed rather than upload limits: a stack of monthly vendor invoices processes in minutes. Save your preferred mode (upload, text, or batch) as a snapshot so recurring invoice sessions start where you left off.
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:
Why did the cow cross the road?
No signups, no data sold. The core of every tool is free forever — the optional Pro plan adds batch processing, unlimited downloads, white-label exports and an ad-free experience.
☕Support me on Ko-fi— keep tools free100% of proceeds go towards hosting & building more free tools.