Product briefing
An intelligent PDF processing platform that converts unstructured books and documents into structured chapters with rich HTML, text, and images. Chapterize combines a Django + React web application with a Python CLI toolkit for batch processing and downstream RAG-friendly exports.
Endpoints
5
Key features
6
Stack components
9
Controls noted
5
May 15, 2026: Added governance-aligned copy, compare tooling support, and transparency notes.
| Method | Path | Description |
|---|---|---|
| POST | /api/documents/ | Upload and register a PDF document |
| POST | /api/extraction/jobs/ | Create an extraction job for a document |
| GET | /api/extraction/jobs/{id}/ | Check extraction status and results |
| POST | /api/auth/login/ | Obtain JWT credentials |
| GET | /api/documents/{id}/ | Retrieve document metadata and extraction state |
import requests
# Example interaction
response = requests.post(
url="https://api.arcore.internal/api/upload",
headers={"Authorization": "Bearer <token>"}
)
print(response.json())Compliance
Security
Coming Soon
1 plannedLMS Package Generation (SCORM/xAPI)
Target: Q2 2025
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