Invoices, contracts, forms, reports, statements—AI extracts structured data from all of them without templates or per-format configuration. Stop building extraction rules and start getting data.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We were using three different tools for invoices, contracts, and compliance forms. Consolidating to one AI platform cut our software costs and eliminated the context-switching overhead for our ops team.”
“During our data migration, we needed to digitize 50,000 legacy documents across 30 different formats. The AI handled every format without a single template. What we budgeted as a 6-month project finished in 3 weeks.”
“The custom AI columns are a game-changer. We defined fields like ‘renewal date’ and ‘auto-renewal clause’ for contracts, and ‘payment terms’ and ‘late fee percentage’ for invoices—all in the same workspace.”
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Data extraction software pulls structured fields from documents—turning PDFs, scans, and photographs into rows in a spreadsheet, records in a database, or structured JSON for an API. The best data extraction tools are not limited to a single document category like invoices or receipts. They use AI to read any document type contextually, extracting the fields you define regardless of whether the source is a vendor invoice, a legal contract, an HR onboarding form, or a compliance report.
Most organizations process more than one type of document. An accounts payable team handles invoices and purchase orders. A legal team reviews contracts and amendments. An operations team processes work orders, inspection reports, and compliance forms. Using a separate extraction tool for each category creates fragmented workflows, duplicate costs, and training overhead. A universal data extractor consolidates these into a single platform with one learning curve and one integration point.
The technical advantage of AI-powered extraction over template-based tools becomes most apparent with unstructured documents like contracts and correspondence. Template tools cannot handle these at all because there are no fixed fields to map. AI reads the text contextually and extracts whichever information you define—termination dates, liability caps, payment terms, or any other provision. Lido supports this through custom AI columns that let you describe what to extract in plain language, and the AI finds it in the document.
For organizations running data migration projects or large-scale digitization initiatives, the ability to process any document format without per-type configuration is the difference between a project that finishes on schedule and one that stalls while templates are built for each legacy format. The best data extractor handles the full variety of your document portfolio on day one.
The best data extraction software handles any document type without requiring separate configurations for each format. It should extract from invoices, contracts, forms, reports, and correspondence using the same engine, with high accuracy on varied layouts. Key differentiators are zero-template operation, per-field confidence scoring, multiple output formats, API access, and enterprise security certifications.
Yes, if it uses AI-powered extraction rather than templates. Template-based tools require separate configurations for invoices, contracts, forms, and each other document type. AI extraction reads any document contextually, so the same engine handles invoices, purchase orders, bank statements, legal contracts, HR forms, and any other business document.
AI data extraction uses natural language understanding alongside visual layout analysis. For unstructured documents like contracts, the AI identifies clauses, dates, parties, terms, and specific provisions by reading the text contextually rather than looking for fixed field positions. Custom AI columns let you define what to extract in plain language, and the AI locates the relevant text.
AI data extraction scales from individual documents to hundreds of thousands per month. The Standard plan processes 100 pages per month, Scale plans handle up to 360,000 pages per year, and Enterprise plans support custom volumes. Documents are processed as they arrive through email forwarding, upload, or API, with no batching delays.
Start by identifying your highest-volume document type and testing 50 pages on the free tier. Review the extracted output against your manual process to validate accuracy. Once confirmed, set up email auto-forwarding or cloud drive connection for automated intake. Most teams complete migration in under a week because AI extraction requires no template building or training period.
Start free with 50 pages. Upgrade when you’re ready.
Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine