Install
openclaw skills install camscanner-pdf-remove-watermarkUse CamScanner to remove watermarks from PDF documents while preserving the underlying text, images, and original layout. Powered by a high-precision documen...
openclaw skills install camscanner-pdf-remove-watermarkCamScanner provides a high-precision document enhancement engine that removes watermarks from PDF documents while preserving the underlying text, images, and original layout. It intelligently detects overlaid watermarks, stamps, and translucent logos across every page and erases them, leaving the document clean and legible. The workflow is a 3-step pipeline: upload the PDF, remove watermark via remove_watermark_pdf, then download the result. For convenience, the remove-watermark step also supports a raw output mode that returns the processed PDF 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 | Operation | Endpoint | Output |
|---|---|---|---|
| Remove watermark (PDF) | remove_watermark_pdf |
| Field | Required | Default | Notes |
|---|---|---|---|
file_id | yes | — | The file_id returned by upload_file for the source PDF |
dpi | no | 144 | Rendering DPI; 144 is the recommended default |
timeout_sec | no | — | Processing timeout in seconds; use 180 for long PDFs |
output_mode | yes | — | "file_id" (then download separately) or "raw" (stream PDF bytes) |
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/document.pdf" | jq -r '.tool_result.data.file_id')
Response:
{
"code": 200,
"tool": "upload_file",
"tool_result": {
"success": true,
"data": {
"file_id": "file_1741857600_ab12cd34ef56.pdf",
"size": 524288
}
}
}
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/remove_watermark_pdf/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"dpi\":144,\"timeout_sec\":180,\"output_mode\":\"file_id\"}" \
| jq -r '.tool_result.data.file_id')
Response:
{
"code": 200,
"tool": "remove_watermark_pdf",
"tool_result": {
"success": true,
"data": {
"file_id": "file_1741857701_9988aabbccdd.pdf"
}
}
}
curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$OUT_FILE_ID\"}" \
-o /path/to/output.pdf
Critical: The response_mode=raw query parameter is required to get the binary file. Without it, the response is JSON.
If you don't need a reusable file_id for the result, pass "output_mode": "raw" to remove_watermark_pdf and save the response body directly — this combines steps 2 and 3:
curl -sS -X POST "$BASE/v1/tools/remove_watermark_pdf/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"dpi\":144,\"timeout_sec\":180,\"output_mode\":\"raw\"}" \
-o /path/to/output.pdf
Remove watermark from a PDF (three-step, keeps an output file_id):
BASE="https://ai-tools.camscanner.com"
INPUT_PDF="/path/to/document.pdf"
OUTPUT_FILE="/path/to/output.pdf"
# Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
-H "Content-Type: application/octet-stream" \
--data-binary "@$INPUT_PDF" | jq -r '.tool_result.data.file_id')
# Remove watermark
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/remove_watermark_pdf/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"dpi\":144,\"timeout_sec\":180,\"output_mode\":\"file_id\"}" \
| jq -r '.tool_result.data.file_id')
# Download
curl -sS -X POST "$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 PDF stream straight from remove_watermark_pdf):
BASE="https://ai-tools.camscanner.com"
INPUT_PDF="/path/to/document.pdf"
OUTPUT_FILE="/path/to/output.pdf"
# Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
-H "Content-Type: application/octet-stream" \
--data-binary "@$INPUT_PDF" | jq -r '.tool_result.data.file_id')
# Remove watermark + download in one call
curl -sS -X POST "$BASE/v1/tools/remove_watermark_pdf/execute" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"$IN_FILE_ID\",\"dpi\":144,\"timeout_sec\":180,\"output_mode\":\"raw\"}" \
-o "$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 |
Using enhance_image for a PDF | PDFs use the dedicated remove_watermark_pdf endpoint, not enhance_image |
Passing dpi or timeout_sec as strings | Both are integers — use 144 and 180, not "144" / "180" |
Missing output_mode in request | Must be either "file_id" (then download separately) or "raw" (stream out) |
| Timeout on long PDFs | Increase timeout_sec (e.g. 180 or more) for documents with many pages |
Parsing JSON when output_mode is "raw" | With raw, the response body IS the PDF — 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 remove watermark (file_id mode)
if [ -z "$OUT_FILE_ID" ] || [ "$OUT_FILE_ID" = "null" ]; then
echo "Watermark removal failed"; exit 1
fi