Extract tables, text, and structured data from photos, screenshots, scans, and camera captures into Excel, Google Sheets, or CSV. No templates. No manual data entry.
Upload a photo, screenshot, or scan — the AI detects tables and text, then delivers organized Excel data immediately. No setup, no templates, no waiting.
No templates. No training data. No per-image-type setup.
Snap a smartphone photo, paste a screenshot, or upload scanned paper records. JPG, PNG, TIFF, BMP, WebP, and PDF scans are all accepted — no per-format configuration needed.
Layout-agnostic AI reads each image visually, identifying tables, headers, and cell values even when grid lines are missing or the image is skewed. It reconstructs the full table structure without templates or training data.
Export to Excel or Google Sheets with one click, or download as CSV and JSON. The REST API returns structured data with confidence scores, enabling automated image-to-spreadsheet pipelines at scale.
“We photograph hundreds of paper records weekly in the field. What used to take our team a full day of typing into spreadsheets now happens automatically in minutes with near-perfect accuracy.”
Operations teams processing high volumes of image-based documents have reduced manual data entry by 80–90% after switching to AI-powered image extraction.
“We scan about 2,000 paper forms a month from field inspections. It handles every image we throw at it — photos, scans, even slightly blurry shots — and pulls the table data into Excel perfectly every time.”
“We needed to digitize years of printed inventory reports into spreadsheets. We tried three other tools that just gave us raw text. This was the first one that actually reconstructed the table structure from images accurately.”
“Our field team takes photos of handwritten order forms on their phones. It reduced the data entry portion of our workflow from hours per day to about fifteen minutes. The accuracy on handwritten text surprised us.”
Images are the hardest input type for data extraction. Unlike digital PDFs that contain embedded text and structure metadata, images are just grids of pixels. A photograph of a printed table, a screenshot of a report, or a scan of a paper form — none of these contain machine-readable text. Every character must be recognized from the pixel data, and every table structure must be inferred from visual cues like alignment, spacing, and lines.
Traditional OCR (optical character recognition) handles the first step: converting pixels to characters. But it stops there. The output is a flat block of text with no distinction between column headers, row data, totals, and labels. Copying this raw text into a spreadsheet requires extensive manual reformatting — often taking nearly as long as typing the data by hand.
AI-powered image extraction takes a fundamentally different approach. Instead of just recognizing characters, it analyzes the entire visual layout of the image — detecting table boundaries, identifying column structures, recognizing header rows, and understanding how data cells relate to their headers. It interprets context the way a person reading the image would, understanding that the number beneath a “Quantity” header is a quantity value, not a price.
The result is structured data that flows directly into Excel, Google Sheets, or CSV with each value in the correct column and row. This works across image types because the AI interprets visual structure rather than relying on fixed coordinates. A slightly rotated photo, a low-resolution scan, or a screenshot with non-standard formatting — the AI adapts to all of these.
Lido is a layout-agnostic AI extraction platform that handles this entire pipeline. It accepts any image input — photos, screenshots, scans, and camera captures — and outputs clean spreadsheet data. It connects to Gmail, Outlook, Google Drive, and OneDrive to process image attachments automatically. Teams using Lido report reducing manual image transcription by 80–90%, whether they are digitizing paper records, processing field photographs, or extracting data from screenshots.
For a detailed guide to the technology behind image-based data extraction, read what OCR data extraction is and how it works.
Audited security controls verified over a sustained period — not a point-in-time snapshot.
Signed Business Associate Agreement available for healthcare-related image processing.
Your images are never used to train, fine-tune, or improve AI models. Data Processing Agreements available.
Bank-grade encryption at rest. TLS 1.2+ in transit. All API access requires authentication.
Images automatically deleted within 24 hours of processing. No copies remain on infrastructure.
Upload your image — photo, screenshot, scan, or camera capture — to an AI-powered extraction tool that reads the visual structure and converts it into organized spreadsheet rows and columns. Traditional OCR converts images to raw text, but AI-powered tools like Lido go further by interpreting tables, labels, and data relationships to produce structured Excel output without manual cleanup. Lido handles any image format from the first upload with no templates or training data required.
AI-powered image-to-Excel tools handle a wide range of image types: smartphone photos of printed documents, screenshots of dashboards and reports, scanned paper records, whiteboard captures, receipts, invoices, labels, and any image that contains tabular or structured data. The key factor is whether the tool can interpret the visual layout, not just recognize characters. Lido's AI reads the spatial relationships between text elements to reconstruct table structures accurately, even from skewed or low-quality images.
Accuracy depends on image quality and the extraction tool's approach. Basic OCR tools recognize characters but lose table structure, requiring manual reformatting. AI-powered layout-agnostic tools like Lido typically achieve 95–99% accuracy on structured image data, including table detection, column alignment, and field identification. The best way to evaluate accuracy is to test with your own images. Lido offers 50 free pages so you can validate extraction quality before committing.
Yes. Batch processing is essential for teams handling large volumes of image-based documents. Lido supports bulk upload of multiple images at once and also connects to Gmail, Outlook, Google Drive, and OneDrive to process image attachments automatically as they arrive. Extracted data from all images flows into a single Excel or Google Sheets output, eliminating the need to process images one at a time.
The best image-to-Excel tools support multiple output formats. Lido exports extracted data to Excel (.xlsx), Google Sheets, CSV, JSON, and XML. It also integrates directly with Google Drive so extracted data lands in a live spreadsheet. For developers building automated image processing pipelines, Lido's REST API returns structured JSON with confidence scores for each extracted field.
Digital PDFs contain embedded text and structure metadata that extraction tools can read directly. Images contain only pixels, so the tool must first recognize characters through OCR, then interpret the visual layout to reconstruct tables and data relationships. This makes image conversion more challenging, especially with low-resolution photos, skewed angles, or poor lighting. Lido handles both image and PDF inputs with the same AI pipeline, delivering consistent structured output regardless of whether the source is a photo, scan, or digital document.
Security varies significantly by tool. Many free online image-to-Excel converters store uploaded images indefinitely and may use them to train AI models. Lido is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption at rest and TLS 1.2+ in transit, and automatically deletes all uploaded images within 24 hours of processing. Your data is never used to train or improve AI models, and Data Processing Agreements are available.
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