CamScanner-Image2Office

👤 camscanner-ai 📦 v1.0.2 ⭐ 4.4 ⬇️ 687 下载
📄 办公效率 免费

📖 技能介绍


name: camscanner-image2office description: Use CamScanner to intelligently recognize image content and accurately convert to editable Word (.docx) or Excel (.xlsx) format. Handles tables, text, and complex layouts with high fidelity. Triggers on "image to Word", "image to Excel", "extract table from image to Excel", "OCR to Word", or when the user has an image containing text or tables and needs it as an editable Office document. metadata: author: CamScanner version: "1.0" openclaw: emoji: "📷" requires: bins: ["curl", "jq"] homepage: "https://www.camscanner.com"


CamScanner Image to Office

Overview

CamScanner provides one-click conversion from images to structured documents, converting image documents to Word or Excel documents while preserving original formatting, greatly improving subsequent editing and processing efficiency. 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 Word (.docx) or Excel (.xlsx)
  • User has an image with tables and needs it as an Excel spreadsheet
  • User has an image with text or complex layouts and needs it as an editable Word document

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.
  • 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

source_type target_type Output
image word .docx
image excel .xlsx

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

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\":\"TARGET\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

Replace TARGET with one of: word, excel.

Response:

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

小葱技能7w4.net有更新,你可以访问看下。

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.docx

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"
TARGET_TYPE="word"          # word | excel
OUTPUT_FILE="/path/to/output.docx"

# 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\":\"$IN_FILE_ID\",\"source_type\":\"image\",\"target_type\":\"$TARGET_TYPE\",\"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"

File Extension Mapping

target_type Extension
word .docx
excel .xlsx

Common Mistakes

Mistake Fix
Forgetting response_mode=raw on download Always append ?response_mode=raw to the download URL
Wrong Content-Type on upload Upload uses application/octet-stream, not multipart/form-data
Using GET instead of POST All three endpoints use POST
Missing source_type in convert request Always include "source_type": "image"
Missing output_mode in convert request Always include "output_mode": "file_id" to get a downloadable file_id
Wrong output extension Match extension to target_type (see table above)

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

🤖 AI 评测

这个Skill质量不错,专门用于将图片转换成Word或Excel文档。它把复杂的API调用过程拆解成清晰的三步操作,文档容易理解,常见错误也有说明。优点是操作流程完整、示例代码可直接使用;不足是过度依赖外部服务,没有本地备选方案,万一服务出问题就没法用了。总体来说,对需要这个功能的用户来说是个好工具。

📊 多维度评分

适应性4
规范性4.5
有效性4.7
可靠性4
可信度4.7

📁 包含文件 (2 个)

📄 SKILL.md 5.5 KB
📄 _meta.json 149 B