Collect
Bring invoices in from uploads, inboxes, supplier portals, and supported connected sources.
AI invoice scanner
AI Invoice Scanner for Accounting-Ready Data
Tailride scans invoices, receipts, and bills from PDFs, images, email content, and supplier portals. It extracts the fields and line items you need, applies accounting rules, and sends review-ready data to your accounting workflow.
- PDFs, images and Email body
- Fields and line items
- Custom AI rules
- Accounting-ready export
- Field extraction accuracy
- 99.7%
- Approximate processing time
- ~30 sec
- Supported document languages
- 50+
Benchmark figures reflect Tailride testing; actual results can vary with document quality and layout.
Product demo
See Tailride AI Rules in action
Watch how Tailride reads an invoice, lets you describe processing rules in plain language, and applies that guidance to the extracted data.
What is an AI invoice scanner?
An AI invoice scanner is software that reads an invoice and turns its contents into structured data. Unlike basic OCR, it identifies the meaning of fields such as supplier, invoice number, dates, currency, tax, totals, and line items instead of returning a block of unstructured text.
Tailride combines invoice scanning with collection, accounting rules, review, and export. The result is not merely searchable text—it is invoice data prepared for the next step in an accounting workflow.
Invoice to clean data
One workflow from capture to accounting
Invoice data extraction should not create another isolated file to manage. Tailride keeps the document, the extracted data, your processing logic, and the next accounting step in one connected flow.
Extract
Read header fields and line items, then organize the document into structured invoice data.
Apply rules
Use plain-language guidance to reflect the way your business wants invoices categorized or coded.
Review and send
Check the result in context before moving the prepared data into the connected accounting workflow.
Structured extraction
Extract the fields behind the total
A useful invoice scanner needs to understand more than the amount due. Tailride reads the document layout and maps the information into recognizable fields, while keeping the original invoice available for review.
The exact result depends on what is present and readable in the source document. When the invoice contains the data, Tailride can structure both high-level details and individual line items.
- Supplier details
- Invoice number
- Invoice and due dates
- Currency
- Subtotal, tax, and total
- Line items
- Purchase order reference
- Payment terms
From document to structured data
Tailride AINorthgate SuppliesINVOICE
Office chairs × 2£378.00
Docking stations × 3£387.00
Other items£580.20
Total due£1,345.20
Extracted data
VendorNorthgate Supplies
✓Invoice IDNG-2026-04871
✓Amount£1,345.20 GBP
✓Due date17 Aug 2026
✓Line items6 detected
✓Beyond basic OCR
Invoice data extraction with accounting context
OCR is an important part of invoice scanning, but character recognition is only the beginning. Tailride is built around the work that follows the scan.
Identify meaning
Recognize which value is a due date, tax amount, supplier name, or line item instead of returning a flat block of text.
Add business logic
Apply guidance that reflects how your company handles a supplier, document type, tax condition, or coding decision.
Keep the review trail
See the original invoice beside the extracted data so the result can be checked before it moves downstream.
Every source
Scan invoices wherever they arrive
A scanner is most useful when invoices reach it without extra manual routing. Tailride connects collection and extraction, while its narrower tools cover source-specific workflows.
Email inboxes
Collect invoice attachments and relevant email content through automated inbox scanning. For a focused setup, see the Gmail invoice scanner.
Supplier portals
Bring recurring documents in through supplier portal automation instead of downloading each invoice by hand.
PDFs and images
Upload scans or exported files for processing. Use the dedicated PDF invoice extractor for a narrower PDF-only task.
Tailride AI Rules
Tell the scanner how your books work
Two companies can receive a similar invoice and still need different accounting treatment. Tailride AI Rules let you describe that context in ordinary sentences rather than forcing every exception into a rigid template.
A rule can guide categorization, coding, field treatment, or a condition that needs attention. The instruction stays connected to the processing workflow, so extracted data follows the logic your team has defined.
How one AI Rule works
Rule activeInput
Document titleBank Statement — July 2026AI Rule
Title contains“Bank Statement”Output
Document typeNot an invoice ✓Human review stays in the loop. Rules guide processing; unusual, incomplete, or material invoices still need review.
After extraction
Move clean invoice data into the next step
Tailride keeps invoice scanning connected to the rest of the accounts payable workflow—from suggested treatment to review and export.
Use automatic coding and AI Rules to prepare consistent accounting data.
Review available accounting integrations for the system your team already uses.
Use the Tailride reconciliation workflow to connect processed documents with the wider record.
Practical use cases
Where an AI invoice scanner helps most
The common thread is not company size or a single accounting platform. It is the need to turn recurring invoice documents into usable data without rebuilding the process for every layout.
Recurring supplier invoices
Standardize the path from collection to review when the same vendors send documents every week or month.
Line-item accounting
Capture the individual products or services behind an invoice total when the downstream workflow needs that detail.
Mixed document layouts
Process invoices from different suppliers without designing a separate fixed template for every visual format.
Bookkeeping review
Give accountants and bookkeepers structured data alongside the source document instead of a disconnected OCR text file.
Invoice processing library
Go deeper on capture and extraction
Explore the technology behind Tailride's AI invoice scanner and learn what to look for when choosing invoice processing software.
Frequently asked questions
AI invoice scanning FAQ
What does an AI invoice scanner do?
An AI invoice scanner reads invoices and converts supplier details, invoice numbers, dates, currencies, taxes, totals, and line items into structured data that can be reviewed and sent to an accounting workflow.
Is an AI invoice scanner the same as OCR?
Not exactly. OCR recognizes characters, while an AI invoice scanner also interprets what those characters represent and organizes them into accounting fields. Tailride adds collection, rules, review, and export around that extraction step.
Which invoice formats can Tailride process?
Tailride can process common invoice inputs such as PDFs, scans, images, email content, and documents collected from supplier portals. Results still depend on the information and readability of the source document.
Can Tailride extract invoice line items?
Yes. Tailride can extract line-item information as well as header fields such as supplier, invoice number, dates, currency, tax, and totals when those details are present in the invoice.
What are Tailride AI Rules?
AI Rules are plain-language instructions that tell Tailride how your business wants particular invoices interpreted, categorized, coded, or handled. They add business context to the extracted invoice data.
Can I review extracted invoice data before export?
Yes. Tailride is designed to produce review-ready invoice data so a user can check the document, extracted fields, and applied treatment before sending the result onward.
Where can Tailride send processed invoice data?
Processed invoices can move into the connected Tailride accounting workflow. The available destination and export path depend on the accounting integration you use.
Ready when you are
Turn the next invoice into accounting-ready data
Use Tailride to collect, scan, structure, and review invoice data—then keep it moving through the accounting workflow your team already follows.