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SnapOtter
d24e244af4
Move all 157 tool pages into image/video/audio/pdf/data subfolders so URLs read /tools/<modality>/<id> (e.g. /tools/image/crop). Nest the image sub-categories under an Image group in the sidebar so the nav reads by modality. Add public/_redirects (301, clean + .html forms) mapping every old flat /tools/<id> URL to its new path so inbound links keep working. Rewrite all internal /tools links. Verified with a clean docs build (no dead links).
44 lines
1.1 KiB
Markdown
44 lines
1.1 KiB
Markdown
---
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description: Convert a PDF to a Word document (DOCX).
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---
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# PDF to Word
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Convert a text-based PDF to a Word document (DOCX). Best suited for PDFs with selectable text; scanned pages will need OCR first.
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## API Endpoint
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`POST /api/v1/tools/pdf/pdf-to-word`
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Accepts multipart form data with a PDF file.
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## Parameters
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This tool has no configurable parameters. Upload a PDF and it will be converted to DOCX.
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## Example Request
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/pdf/pdf-to-word \
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-H "Authorization: Bearer si_your-api-key" \
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-F "file=@report.pdf"
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```
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## Example Response
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Returns `202 Accepted`. Track progress via SSE at `/api/v1/jobs/{jobId}/progress`.
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"async": true
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}
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```
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## Notes
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- Accepted input format: `.pdf`.
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- Works best with text-based PDFs. Scanned or image-only pages will produce empty or minimal output; use [PDF OCR](./ocr-pdf) to add a text layer first.
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- Conversion is handled by LibreOffice running headless on the server.
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- Complex layouts (multi-column, overlapping elements) may not convert perfectly.
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