Best Photo OCR Tools in 2026

Detailed comparison

1. Lido — Best for: Extracting structured data from photos into spreadsheets

Lido is the only tool in this comparison that takes a photo and returns clean, structured data in Excel, Google Sheets, CSV, or JSON without developer setup. Upload a photo of a receipt, invoice, form, table, or business card, define what fields you want to extract in plain English, and Lido applies its layout-agnostic AI to return field-mapped rows. Image pre-processing handles skew, lighting, and blur before OCR. Batch upload handles up to 500 photos at once with per-field confidence scores.

For users who need actual data — not just the text copied — Lido is the most complete non-developer photo OCR option. SOC 2 Type 2 and HIPAA compliant. Pricing starts at $29/month for 100 pages with a 50-page free tier.

2. Google Cloud Vision — Best for: Developers building high-accuracy OCR into applications

Google Cloud Vision API provides some of the highest text detection accuracy available for photos, including skewed images, photos with mixed fonts, and challenging lighting conditions. The TEXT_DETECTION feature returns raw text with bounding box coordinates; DOCUMENT_TEXT_DETECTION returns hierarchical text organized by page, block, paragraph, word, and symbol with confidence scores. The Vision API also detects objects, faces, logos, and labels beyond text, making it a multi-purpose image analysis tool.

Cloud Vision returns raw text, not structured data. Converting photo text to spreadsheet rows requires custom code to parse the raw OCR output and map values to fields. There is no UI, no field naming, and no output formatting. At approximately $0.0015 per image for the first 5 million images/month, the cost is low for high volume. Best for developers who need high-accuracy text detection as a building block and will handle structuring the output themselves.

3. Apple Live Text — Best for: Quick text copying from photos on iPhone and iPad

Apple Live Text is a built-in feature on iOS 15+ and macOS Monterey+ that recognizes text in photos and camera viewfinders, allowing users to select, copy, translate, or look up text directly. Point your iPhone camera at a document and tap recognized text to copy it. In the Photos app, Live Text works on existing images. The feature uses Apple’s on-device neural processing, so recognition is fast and works offline without sending images to a server.

Live Text is a text-copying feature, not a data extraction tool. It copies text as-is — there is no field mapping, no table detection, no structured output to spreadsheets, and no batch processing. It works exclusively on Apple devices. For quickly copying a phone number from a business card or a URL from a printed document, it is the fastest available option on iOS. For anything requiring structured data output, it is the wrong tool.

4. Microsoft Lens — Best for: Scanning documents to Word or Excel on Android and iOS

Microsoft Lens is a free mobile scanning app that captures documents, whiteboards, and business cards and sends them to OneDrive, OneNote, Word, Excel, or PDF. The Excel export option attempts to convert photographed tables into editable spreadsheets by recognizing column boundaries. For clean, well-formatted printed tables on white backgrounds, Lens’s table recognition often produces usable output directly in Excel without significant adjustment.

Lens’s table-to-Excel conversion is designed for simple, regular tables — classroom schedules, simple financial summaries, ingredient lists. It struggles with complex tables, merged cells, multi-column layouts, and photos with perspective distortion. There is no batch processing, no API, and no field configuration. For Microsoft 365 users who occasionally need to photograph a simple table and edit it in Excel, Lens provides a useful shortcut. For systematic data extraction from diverse document types, Lens is insufficient.

5. CamScanner — Best for: Mobile document scanning to searchable PDF with cloud sync

CamScanner is one of the most widely used mobile scanning apps globally, with 400+ million users. It applies perspective correction, brightness enhancement, and edge detection to produce clean PDF scans from phone photos. The resulting PDFs are OCR-processed to create searchable text layers, and scans sync to CamScanner’s cloud for cross-device access. The app includes annotation tools, watermarking, fax integration, and document organization.

CamScanner creates high-quality digital copies of documents — it does not extract structured data into spreadsheets or APIs. The OCR layer makes scanned content searchable within PDFs, but retrieving data from those PDFs still requires a separate extraction step. Pricing is free with ads for basic scanning, with the $4.99/month premium removing ads and unlocking additional features. Best for individuals who need organized, searchable PDF archives of physical documents.

6. Adobe Scan — Best for: Scanning documents directly into the Adobe Document Cloud ecosystem

Adobe Scan is a free mobile scanning app that creates high-quality PDF scans and saves them directly to Adobe Document Cloud, where they are instantly accessible in Acrobat Reader and Acrobat Pro for annotation, editing, and sharing. The app auto-detects document edges, applies color correction, and runs OCR to create searchable PDFs. Integration with the broader Adobe ecosystem is its primary advantage — scans are immediately available for commenting, form filling, and e-signature in Acrobat.

Like CamScanner, Adobe Scan creates searchable PDFs — it does not extract structured data. The data inside those scanned PDFs is not accessible without additional tools. Adobe Scan requires an Adobe account and uploads all scans to Adobe’s cloud, which matters for document sensitivity. The app is free, but extracting structured data from its PDFs requires either Acrobat Pro’s Export feature or a separate extraction tool like Lido.

7. AWS Textract — Best for: Developer-controlled photo OCR with table and form detection

AWS Textract processes photos and images through its document analysis API, detecting text, tables, and form key-value pairs with high accuracy. Unlike Google Cloud Vision, which returns raw text, Textract applies machine learning to understand document structure — identifying which text belongs to which table cell, and which text is a form label versus a form value. For developers processing photos of structured documents like invoices, receipts, or forms, Textract’s structured output is more useful than raw text detection.

Textract is an AWS-native developer API with no mobile app, no UI, and no no-code interface. The JSON response requires parsing code to normalize into usable formats. Pricing is approximately $0.0015 per page for standard text detection and approximately $0.05 per page for full document analysis with forms and tables. For teams on AWS building automated photo processing workflows, Textract’s structured output and AWS integration are the key advantages.