Install
openclaw skills install @camscanner-ai/camscanner-image-erase-handwritingUse CamScanner to erase handwriting from images while preserving the printed content and original layout. Powered by a high-precision image enhancement engine that intelligently detects and removes handwritten strokes, annotations, and signatures, leaving the underlying document clean and legible. Use when the user wants to remove handwriting from a photo or scan, clean up annotated documents, or restore a blank form filled by hand. Triggers on "erase handwriting", "remove handwriting from image", "clean handwritten notes", "remove annotations from scan", or when the user has an image with handwritten content that needs to be removed.
openclaw skills install @camscanner-ai/camscanner-image-erase-handwritingCamScanner provides a high-precision image enhancement engine that removes handwriting from images while preserving the printed content and original layout. It intelligently detects handwritten strokes, annotations, and signatures and erases them, leaving the underlying document clean and legible. The workflow is a 3-step pipeline: upload the image, enhance it with enhance_mode: 9 (erase handwriting), then download the result. For convenience, the enhance step also supports a raw output mode that returns the processed image bytes directly, skipping the download step.
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.
Base URL: https://ai-tools.camscanner.com
| source_type | enhance_mode | Operation | Output |
|---|---|---|---|
| image | 9 | Erase handwriting | .jpg |
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.jpg" | 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
}
}
}
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/enhance_image/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"enhance_mode\":9,\"output_mode\":\"file_id\"}" \
| jq -r '.tool_result.data.file_id')
Response:
{
"code": 200,
"tool": "enhance_image",
"tool_result": {
"success": true,
"data": {
"file_id": "file_1741857701_9988aabbccdd",
"enhance_mode": 9
}
}
}
curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$OUT_FILE_ID\"}" \
-o /path/to/output.jpg
Critical: The response_mode=raw query parameter is required to get the binary file. Without it, the response is JSON.
If you don't need a reusable file_id for the result, pass "output_mode": "raw" to enhance_image and save the response body directly — this combines steps 2 and 3:
curl -sS -X POST "$BASE/v1/tools/enhance_image/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"enhance_mode\":9,\"output_mode\":\"raw\"}" \
-o /path/to/output.jpg
Erase handwriting from an image (three-step, keeps an output file_id):
BASE="https://ai-tools.camscanner.com"
INPUT_IMAGE="/path/to/image.jpg"
OUTPUT_FILE="/path/to/output.jpg"
# Upload
IN_FILE_ID=$(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')
# Enhance (erase handwriting)
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/enhance_image/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"enhance_mode\":9,\"output_mode\":\"file_id\"}" \
| jq -r '.tool_result.data.file_id')
# Download
curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$OUT_FILE_ID\"}" \
-o "$OUTPUT_FILE"
Or one-shot (two-step, raw image stream straight from enhance_image):
BASE="https://ai-tools.camscanner.com"
INPUT_IMAGE="/path/to/image.jpg"
OUTPUT_FILE="/path/to/output.jpg"
# Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
-H "Content-Type: application/octet-stream" \
--data-binary "@$INPUT_IMAGE" | jq -r '.tool_result.data.file_id')
# Enhance + download in one call
curl -sS -X POST "$BASE/v1/tools/enhance_image/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"enhance_mode\":9,\"output_mode\":\"raw\"}" \
-o "$OUTPUT_FILE"
| 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 endpoints use POST |
Passing enhance_mode as a string | enhance_mode is an integer — use 9, not "9" |
Missing output_mode in enhance request | Must be either "file_id" (then download separately) or "raw" (stream out) |
Parsing JSON when output_mode is "raw" | With raw, the response body IS the image — write it to a file with -o |
Trying to download a file_id after raw response | raw mode returns no file_id; re-run in file_id mode if you need one |
Check each step before proceeding:
# After upload
if [ -z "$IN_FILE_ID" ] || [ "$IN_FILE_ID" = "null" ]; then
echo "Upload failed"; exit 1
fi
# After enhance (file_id mode)
if [ -z "$OUT_FILE_ID" ] || [ "$OUT_FILE_ID" = "null" ]; then
echo "Enhancement failed"; exit 1
fi