Chapterize
An intelligent document processing engine that converts static PDFs into structured, web-ready HTML chapters. Chapterize uses AI to detect logical breaks, clean content, and make legacy documentation accessible, searchable, and mobile-friendly.
Key Features
- AI-driven Chapter & TOC Detection
- Rich HTML & Text Export with Image Retention
- LMS-ready Packages (SCORM/xAPI Compatible)
- Regex-Driven Content Cleaning & Transformation
- Accessible, Distraction-free Reading Mode
- CLI for Batch Processing & Automation
API Endpoints
| Method | Path | Description |
|---|---|---|
| POST | `/api/upload` | Upload a PDF document for processing |
| GET | `/api/books/{id}/chapters` | Retrieve structured chapters for a book |
| POST | `/api/export/html` | Export a book as a navigable HTML package |
| GET | `/api/jobs/{id}` | Check the status of a document processing job |
Usage Example
import requests
# Example interaction
response = requests.post(
url="https://api.arcore.internal/api/upload",
headers={"Authorization": "Bearer <token>"}
)
print(response.json())Tech Stack
Authentication
- •**Header:** `Authorization: Bearer <token>`
- •**Scopes:** RBAC is enforced at the object level via `ArcoreCodex` policies.
Compliance & Security
Compliance
- ✓Data: Ephemeral storage for processing
- ✓Access: Upload limits and throttling
Security
- ✓Access: Upload limits and throttling
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