ConverCell

OCR PDF ke Excel — Pengenalan Karakter Otomatis

Ubah dokumen PDF berbasis gambar menjadi lembar kerja Microsoft Excel.

Quick Summary: Extract text and numbers from image-based or non-selectable PDFs into formatted Excel spreadsheets using high-accuracy character recognition with coordinate boundary detection.

How It Works

  1. Unggah PDF gambar.
  2. OCR Pemindaian teks & tabel.
  3. Unduh Spreadsheet Excel.

Key Features & Capabilities

  • Akurasi Tinggi — Mampu membaca berbagai format dokumen.

Technical Specifications & Engine Capabilities

Specification Implementation Details
Supported Document Types Image-only PDFs, flattened documents, rasterized printouts, locked PDF layers
Extraction Pipeline High-accuracy Tesseract OCR with coordinate bounding box grouping
Output Spreadsheets Microsoft Excel (.xlsx), Comma-Separated Values (.csv)
Numeric Formatting Automatic detection of currency symbols, decimal points, and percentages into Excel numeric types
Privacy Framework TLS 1.3 transfer, zero permanent storage, automatic 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
Non-Selectable Flattened PDF Pages Direct raster layer rasterization & OCR token extraction Converts pixel text into fully selectable, editable Excel cells
Multi-Column Price Lists & Catalogs Vertical gutter clustering and X-coordinate projection Maintains strict column separation between descriptions and prices
Mixed Fonts and Bold Row Headers Font weight & size threshold analysis Detects section headers and styles them with distinct bold formatting
Compressed JPEG Artifacts in PDFs Bilateral filtering to preserve character edges Minimizes character misrecognition caused by lossy PDF compression

Common Conversion Challenges & Troubleshooting

1. Distinguishing Native Digital PDFs from Image-Only PDFs

Cause: If you cannot highlight or copy text with your mouse in your PDF reader, the document is an image-only PDF.
Solution: ConverCell automatically detects image-only PDFs and routes them through our OCR pipeline without requiring manual settings.

2. Numeric Characters Recognized as Letters (e.g. 'O' instead of '0')

Cause: Degraded fonts or heavy image compression can confuse similar glyphs.
Solution: Our OCR pipeline applies contextual dictionary filtering to enforce strict digit recognition inside numeric and currency columns.

3. Rotated Pages Inside Multi-Page PDF Batches

Cause: Some pages scanned upside-down or sideways will cause OCR to misread lines.
Solution: Ensure all pages in your PDF are rotated right-side up before uploading, or utilize our local PDF editor to reorient pages.

OCR Extraction Sample: Image-Only Catalog to Formatted Excel Sheet

Example of converting locked, non-selectable raster PDF pages into clean spreadsheet rows:

Catalog Code Product Name Technical Spec Pack Size Wholesale Price MSRP
CAT-9012 Precision Digital Caliper 150mm Stainless Steel / LCD / 0.01mm 1 Unit 4.50 $49.99
CAT-9015 Optical Center Punch Tool Hardened Alloy / 1.5x Magnifier 1 Unit
8.20
$34.50
CAT-9022 Carbide Rotary Burr Set (10-Pc) 1/4" Shank / Double Cut / Titanium 1 Set $38.00 $75.00
CAT-9031 Magnetic Dial Indicator Stand Dual Articulated Arm / 130 lb Hold 1 Unit 9.00 $58.00

Frequently Asked Questions

Apa itu OCR?

OCR adalah teknologi pengenalan karakter visual menjadi teks digital yang bisa diedit.

Related Document Extraction & PDF Tools

Excel

PDF ke Excel

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.