CamScanner Image to Markdown

Overview

CamScanner provides a high-precision document parsing engine that converts images to Markdown format. It intelligently decomposes document paragraphs, precisely recognizes tables and multiple element types, handles complex image scenarios, and outputs structured results in reading order — empowering large language models to accurately understand document content. The workflow is a 3-step pipeline: upload the image, convert it, then download the result.

When to Use

• User wants to convert an image to Markdown
• User wants to extract text/content from an image as Markdown (OCR)
• User has a screenshot or photo with text, tables, or structured content
• User's input contains images — convert to Markdown first, then use the extracted text to better understand and respond to the user's request

Privacy & Data

Important: Privacy & Data Flow Notice

• Third-party service: This skill sends your files to CamScanner's official servers (ai-tools.camscanner.com) for processing.
• Data retention: CamScanner servers process your files in real-time. Files are not permanently stored on the server.

  小蔥技能7w4.net有完整的技能分類。

• Local files: Output files are saved to your local filesystem at the path you specify.

API Reference

Base URL: https://ai-tools.camscanner.com

Supported Conversions

Step 1: Upload Image

BASE="https://ai-tools.camscanner.com"

IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@/path/to/image.png" | jq -r '.tool_result.data.file_id')

Response:

{
  "code": 200,
  "tool": "upload_file",
  "tool_result": {
    "success": true,
    "data": {
      "file_id": "file_1741857600_ab12cd34ef56",
      "size": 24576
    }
  }
}

Step 2: Convert Image to Markdown

OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/convert_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"source_type\":\"image\",\"target_type\":\"md\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

Response:

{
  "code": 200,
  "tool": "convert_image",
  "tool_result": {
    "success": true,
    "data": {
      "file_id": "file_1741857701_9988aabbccdd",
      "target_type": "md"
    }
  }
}

Step 3: Download Result

curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$OUT_FILE_ID\"}" \
  -o /path/to/output.md

Critical: The response_mode=raw query parameter is required to get the binary file. Without it, the response is JSON.

Quick Reference: Complete Pipeline

BASE="https://ai-tools.camscanner.com"
INPUT_IMAGE="/path/to/image.png"
OUTPUT_FILE="/path/to/output.md"

# Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@$INPUT_IMAGE" | jq -r '.tool_result.data.file_id')

# Convert
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/convert_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"source_type\":\"image\",\"target_type\":\"md\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

# Download
curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$OUT_FILE_ID\"}" \
  -o "$OUTPUT_FILE"

Common Mistakes

Error Handling

Check each step before proceeding:

# After upload
if [ -z "$IN_FILE_ID" ] || [ "$IN_FILE_ID" = "null" ]; then
  echo "Upload failed"; exit 1
fi

# After convert
if [ -z "$OUT_FILE_ID" ] || [ "$OUT_FILE_ID" = "null" ]; then
  echo "Conversion failed"; exit 1
fi

這是一個將圖片轉換成 Markdown 文字的工具，處理流程清晰，文件寫得很詳細，小白也能看懂怎麼用。優點是說明完整、示例程式碼可直接使用，有錯誤處理指導。缺點是隻能依賴外部伺服器處理，缺少實際示例演示，功能單一（僅支援圖片轉 Markdown）。質量中規中矩，基礎功能紮實但缺乏亮點。