ConverCell

PDF Escaneado para Excel — Reconhecimento OCR

Nosso OCR lê documentos digitalizados e converte tabelas em planilhas editáveis.

Quick Summary: Extract data from scanned paper documents and photocopies into editable Excel spreadsheets using local optical character recognition (OCR) and adaptive image preprocessing.

How It Works

  1. Envie o scan PDF digitalizado ou foto.
  2. Leitura OCR Identificação óptica de caracteres.
  3. Planilha Pronta Baixe seu arquivo .xlsx.

Key Features & Capabilities

  • Reconhecimento Numérico — Converte valores monetários e números em dados reais.

Technical Specifications & Engine Capabilities

Specification Implementation Details
Supported Scan Types Flatbed scans, photocopied ledgers, paper invoices, camera photos (PDF, PNG, JPG, WEBP)
Recommended Resolution 300 DPI for standard typography; 150 DPI minimum for legible text
Image Preprocessing Automated skew correction (±15°), Otsu adaptive thresholding, morphological noise removal
OCR Engine Local Tesseract OCR engine coupled with OpenCV contour detection
Data Retention & Privacy TLS 1.3 transfer, isolated container execution, automated 30-minute auto-purge TTL

Document Layout Handling & Extraction Behavior

Different document structures require specialized parsing logic to prevent broken rows and misaligned columns:

Document Layout Processing Method Expected Spreadsheet Output
Uneven Lighting or Shadowed Scans Otsu adaptive thresholding & local contrast equalization Normalizes background paper texture and sharpens faint numbers
Rotated or Skewed Paper Sheets Hough transform deskewing algorithm (±15°) Straightens tilted lines to align horizontal rows and vertical columns
Faded Dot-Matrix Printer Numbers Morphological closing to bridge character gaps Accurately transcribes dot-matrix numerals without missing digits
Handwritten Margin Notes Confidence score filtering for printed vs cursive text Extracts printed tabular data while excluding stray pencil annotations

Common Conversion Challenges & Troubleshooting

1. Blurry or Low-Resolution Scans (< 150 DPI)

Cause: Compressed scans blur critical decimal points and cause character confusion between '8', '3', and '0'.
Solution: Rescan documents at 300 DPI in black-and-white or high-contrast grayscale mode before uploading for conversion.

2. Dark Binding Shadows Near Page Margins

Cause: Book spines or scanner lids leave thick black margins that OCR can mistake for table borders.
Solution: Crop off dark page margins before uploading, or use the interactive preview table to delete extraneous border artifacts.

3. Tilted or Keystoned Smartphone Photos

Cause: Taking photos of paper sheets at an angle causes perspective distortion across columns.
Solution: Capture photos directly perpendicular to the document under flat, uniform lighting, or use a mobile scanning app with automatic edge flattening.

Scanned Document Sample: Paper Warehouse Manifest to Structured Excel

Example of how ConverCell binarizes paper scans and recovers clean spreadsheet columns:

Bin Location Part Number Component Description Counted Units Unit Valuation Extended Value
BIN-A14-02 HEX-BOLT-M8 High-Tensile Zinc Hex Bolt M8x40 1,200 $0.42 $504.00
BIN-A14-05 NYL-NUT-M8 Nylon Insert Lock Nut M8 Grade 8 1,200 $0.18 16.00
BIN-B02-11 WASHER-FLAT-M8 Standard Flat Steel Washer M8 2,400 $0.09 16.00
BIN-C08-01 ALLEN-CAP-M6 Socket Head Cap Screw M6x25 850 $0.65 $552.50

Frequently Asked Questions

Suporta fotos?

Sim, fotos claras de documentos são suportadas.

Related Document Extraction & PDF Tools

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Clear Data Privacy & Ephemeral Architecture

Stateless Processing: Uploaded over encrypted TLS 1.3 connections to our stateless conversion backend. Vector text coordinates are parsed via pdfplumber for digital PDFs, and character recognition is handled locally by Tesseract OCR and OpenCV for scans.

30-Minute Auto-Purge TTL: Documents are processed in isolated ephemeral storage and permanently deleted immediately upon export or after a 30-minute maximum TTL. We never store, inspect, or use your documents to train machine learning models.