Batch OCR Multiple Regions in a Single Session on Windows

The standard OCR loop: capture → recognize → copy → repeat. Ten times. CaptureOCR changes this: capture all regions first, then recognize in batch.

The Batch Advantage

How Batch OCR Works in CaptureOCR

1. Enter Capture Mode

Ctrl+Shift+X → screen dims, crosshair appears.

2. Capture All Regions

Drag around region 1 → ① appears.
Drag around region 2 → ②.
… up to 10+ regions.

Each region shows in the region drawer (side panel):

• Thumbnail preview
• Number badge (①②③…)
• Status: pending / recognizing / done / error

3. Manage Before Recognizing

The drawer is your control center:

• Reorder: Drag thumbnails → numbers update visually (stable IDs preserved internally)
• Delete: Right-click → remove (won’t affect other regions)
• Undo: Ctrl+Z restores last deleted region
• Rename: Not needed — numbers are display-only; stable IDs handle identity

4. Batch Recognize

Two ways:

• Auto-OCR (Settings → ON): Each region recognizes immediately after capture
• Manual batch: Capture all → click “Recognize All” → processes sequentially

Progress UI: Shows “Recognizing ③ of ⑦…” with per-region progress.

5. Single Export

One click → Markdown / CSV / TXT / .snipx. All regions in one file.

Real Batch Scenarios

Scenario 1: Dashboard Screenshot

Goal: Extract 8 KPIs from a monitoring dashboard

Export CSV → pivot in Excel → weekly report done.

Scenario 2: Code Review Screenshots

Goal: Capture 6 code blocks from a PR for documentation

1. Capture each function/class as separate region
2. Reorder in drawer to match doc structure
3. Batch OCR (Accurate mode for code)
4. Export Markdown → paste into docs

Each code block gets its own region with coordinates. Dev can trace back to exact source location.

Scenario 3: Form Field Extraction

Goal: Extract 12 fields from a legacy app form

Capture all → batch OCR → Export CSV → import into CRM.

Batch Settings Worth Configuring

Batch Progress & Error Handling

Progress indicators:

• Per-region: pending → recognizing → done/error
• Overall: “3 of 7 completed”
• Cancel button: stops after current region

Error handling:

• Failed region shows error badge
• Click to retry just that region
• Other regions unaffected
• Export skips failed regions (notes in output)

Batch Export Formats

Performance: Batch vs Sequential

Key insight: OCR runs on a single worker thread (ONNX Runtime constraint). Batch doesn’t parallelize OCR — but it eliminates your context switching.

Advanced: Session Package for Reproducibility

Export .snipx → ZIP contains:

session.snipx/
├── session.json      # Full state: regions, results, annotations
├── img/
│   ├── 1.png         # Region ① original
│   ├── 2.png         # Region ② original
│   └── ...
├── ocr-batch.md      # Markdown export
└── ocr-batch.csv     # CSV export

Share .snipx with colleague → they open in CaptureOCR → full session restored. Re-export with different settings (e.g., Accurate mode) without re-capturing.

Compare: Batch OCR Tools

Pro Tips for Batch Workflows

1. Name your session: In session.json, add a description field for context
2. Use display order for export: Drawer order = export row order (stable IDs handle identity)
3. Pre-capture all, then recognize: Avoids “wait, did I capture that field?” moments
4. Export CSV for Excel: UTF-8 BOM → Chinese works, coordinates for traceability
5. Session package for handoff: Send .snipx to colleague → they continue exactly where you left off

Get Batch OCR Working

1. Install CaptureOCR ($2.99 one-time)

1. Ctrl+Shift+X → capture 5+ regions
2. Click “Recognize All” (or enable auto-OCR)
3. Export CSV → done

Related reads:

• How to Extract Text from Multiple Screenshots at Once
• Extract Error Messages from Screenshots: Support Workflow
• Export Screenshot to CSV with Coordinates and Confidence