Digitize and extract structured data from the full range of business documents—invoices, contracts, forms, records, and more. AI-powered accuracy with no templates to build or maintain.
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 digitized 10 years of archived patient records—over 200,000 pages across dozens of form types. The AI handled every format without us building a single template. Our records are now fully searchable and structured.”
“Our digital transformation was stuck because we couldn’t reliably digitize the 15 different document types in our workflow. This OCR platform handled all of them in the pilot week. Full rollout followed immediately.”
“The handwriting recognition surprised us. We process field inspection forms with handwritten notes, and the AI reads them accurately enough that our inspectors no longer need to re-type their observations.”
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.
Basic OCR converts an image of text into machine-readable characters. It tells you what the text says but not what it means. The best document OCR goes further—it performs intelligent document processing that understands document structure, identifies specific fields and their roles, and outputs structured data ready for import into your business systems. This distinction matters because raw text extraction still requires manual sorting and formatting, while intelligent extraction delivers database-ready records automatically.
Enterprise document management creates a particular challenge because organizations process many different document types simultaneously. A manufacturing company might handle purchase orders, receiving reports, quality certificates, invoices, and safety inspection forms in a single day. Each has a different layout and different fields that matter. Basic OCR would require separate handling for each type. AI-powered document OCR reads all of them through a single engine, identifying the relevant fields contextually regardless of the document format.
Records digitization projects amplify this advantage further. Organizations with years of archived paper documents face the choice of manually keying data, building dozens of extraction templates, or using AI that handles every format on first encounter. Lido supports this use case with batch upload, email auto-forwarding, and custom AI columns that let you define exactly which fields to extract from each document category—all without template creation or training data.
For teams evaluating document OCR for enterprise use, the key question is not “does it work on my best document?” but “does it work on all my documents?” The best document OCR software provides high accuracy across the full spectrum of business documents, with per-field confidence scoring that lets your team set appropriate review thresholds for each use case—tighter for financial documents, more relaxed for general correspondence.
The best document OCR software supports the full spectrum of business documents: invoices, purchase orders, receipts, bank statements, tax forms, contracts, HR documents, compliance forms, medical records, shipping manifests, and any other document your organization processes. AI-powered OCR handles all of these with a single engine rather than requiring separate configurations for each type.
Document OCR is the foundation of digital transformation for paper-heavy organizations. It converts physical and scanned documents into searchable, structured digital data that can be stored in document management systems, fed into analytics tools, or integrated with ERP and CRM platforms. Without reliable OCR, digital transformation stalls at the scanning step because extracted data still requires manual correction.
AI-powered document OCR can recognize printed text, typed text, and many styles of handwriting on the same page. It also handles mixed-format documents that combine text paragraphs, tables, checkboxes, signatures, and stamps. Accuracy on handwritten text varies by legibility but typically exceeds 85 percent for clearly written characters. Confidence scores flag fields that may need manual review.
Basic OCR converts an image of text into machine-readable characters but does not understand the document structure or meaning. Intelligent document processing uses AI to understand the layout, identify specific fields, classify document types, and extract structured data. Lido performs intelligent document processing, returning not just text but identified fields with their values and confidence scores.
Upload a representative sample of your actual documents to each platform you are evaluating. Measure field-level accuracy by comparing extracted values against known correct values for each field. Pay special attention to edge cases like poor-quality scans, multi-page documents, and non-standard layouts. Lido offers 50 free pages for testing so you can validate accuracy with zero commitment.
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