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Give PaperOffice to the coding agent
AI-readable PaperOffice API specification
https://api.paperoffice.ai/latest/docs/llms.txt Use with
- Cursor
- Claude Code
- Codex
- AI Coding Agents
Copy the instruction and paste it
Ready Document AI build instruction
Read in full:
https://api.paperoffice.ai/latest/docs/llms.txt
Task:
Build, run and verify a production-ready Document AI batch web app with PaperOffice AI-OCR.
Access:
Demo mode:
Use the preprocessed responses and Sandwich PDFs from this manifest: https://paperoffice.ai/demos/ai-ocr/batch/manifest.json
Clearly label the mode as a static demo. Never claim live processing.
Synthetic batch source files:
- https://paperoffice.ai/demos/ai-ocr/batch/sample1-source.jpg
- https://paperoffice.ai/demos/ai-ocr/batch/sample2-source.jpg
- https://paperoffice.ai/demos/ai-ocr/batch/sample3-source.jpg
Preprocessed demo artifacts:
- Responses: https://paperoffice.ai/demos/ai-ocr/batch/sample1-response.json | https://paperoffice.ai/demos/ai-ocr/batch/sample2-response.json | https://paperoffice.ai/demos/ai-ocr/batch/sample3-response.json
- Sandwich PDFs: https://paperoffice.ai/demos/ai-ocr/batch/sample1-searchable.pdf | https://paperoffice.ai/demos/ai-ocr/batch/sample2-searchable.pdf | https://paperoffice.ai/demos/ai-ocr/batch/sample3-searchable.pdf
- Complete package: https://paperoffice.ai/demos/ai-ocr/batch/paperoffice-aiocr-batch-demo.zip
Requirements:
- Download and process all three source JPGs together as one batch
- Run AI-OCR Complete with ocr_mode=complete, output_searchable_pdf=true, processing_lane=instant and client_wait=true
- Call the documented endpoint once per file; send every live upload as multipart/form-data in file_1
- Coordinate the three jobs as one batch and show per-file progress and partial results
- In demo mode, use only the preprocessed responses and PDFs without new API processing
- Fully implement upload, processing, HTTP 202 polling, errors and result
- For every file, render and offer downloads for the source JPG, OCR text, bounding boxes, response and Sandwich PDF
- Offer individual downloads and the complete demo batch download
- Use only endpoints documented in llms.txt
- Do not invent APIs, fields or download URLs
Result:
Implement the complete batch app, start it and verify all three source files.- 1 Paste into the coding agent
- 2 Run the generated app
This is what the completed three-file batch looks like
3 synthetic source files
Loading static OCR response…
- OCR mode
- Complete (Ultra)
- Pages
- 1
- Detected language
- Unknown
- Text lines
- 245
- Characters
- 2366
- Bounding boxes
- 245
- Average confidence
- 97%
Searchable Sandwich PDF
The original appearance remains intact while an invisible text layer makes the document searchable.
Successfully processed Batch 1/3 · AI-OCR Ultra
GET STARTED
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Show optional technical details
Only needed for debugging or manual verification. The AI-first path above does not require copying this code.
Underlying request
curl -O "https://paperoffice.ai/demos/ai-ocr/batch/sample1-source.jpg"
curl -O "https://paperoffice.ai/demos/ai-ocr/batch/sample2-source.jpg"
curl -O "https://paperoffice.ai/demos/ai-ocr/batch/sample3-source.jpg"
for file in sample1-source.jpg sample2-source.jpg sample3-source.jpg; do
curl -X POST "https://api.paperoffice.ai/latest/job/add/paperoffice_aiocr___generate" \
-H "Authorization: Bearer po_ut_YOUR_API_KEY" \
-F "file_1=@${file};type=image/jpeg" \
-F "ocr_mode=complete" \
-F "output_searchable_pdf=true" \
-F "processing_lane=instant" \
-F "client_wait=true"
doneResponse fixture
{
"status": "success",
"demo_fixture": true,
"synthetic_documents": true,
"live_processing": false,
"batch_size": 3,
"manifest": "/demos/ai-ocr/batch/manifest.json",
"download_all": "/demos/ai-ocr/batch/paperoffice-aiocr-batch-demo.zip",
"responses": [
"/demos/ai-ocr/batch/sample1-response.json",
"/demos/ai-ocr/batch/sample2-response.json",
"/demos/ai-ocr/batch/sample3-response.json"
],
"searchable_pdfs": [
"/demos/ai-ocr/batch/sample1-searchable.pdf",
"/demos/ai-ocr/batch/sample2-searchable.pdf",
"/demos/ai-ocr/batch/sample3-searchable.pdf"
]
}