Първо API извикване

Създайте вашата първа Document-AI-App с един единствен промпт.

Създадено за Coding Agents. По-малко API-проучване, повече фокус върху продукта и резултата.

Поставете llms.txt

Опишете какво да се създаде чрез промпт

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1 · Достъп

Как искате да започнете?

Ограничена употреба

Режим за посетители

Без акаунт · ограничено демо използване

Без ограничение за посетители

Собствен API-ключ

За продуктивна интеграция

2 · llms.txt

Предоставяне на PaperOffice на Coding Agent

AI-четима спецификация на PaperOffice API https://api.paperoffice.ai/latest/docs/llms.txt

Работи с

Cursor
Claude Code
Codex
AI Coding Agents

3 · Промпт

Копирайте и поставете инструкцията

Готова инструкция за изграждане на Document-AI

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.