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Product briefing
ArcorePaperless
ProductionBusiness Operations
ArcorePaperless is an AI-enhanced document operations platform built around Paperless-ngx. It treats Paperless as the OCR and archive engine, then layers Arcore workflow routing, PII controls, financial intelligence, entity graphing, cloud/email ingestion, and conversational/voice-assisted document operations on top.
API: Available
Endpoints
5
Key features
5
Stack components
9
Controls noted
5
What changed
May 15, 2026: Added governance-aligned copy, compare tooling support, and transparency notes.
Key Features
- 1AI-assisted extraction for document type, vendor, amounts, dates, and field normalization
- 2Human-approval workflow queues with SLA-aware state transitions for low-confidence documents
- 3PII scanning, masked export, and document-level permissioning with audit logs
- 4Financial intelligence layer for transactions, budgets, tax summaries, and CSV export
- 5Google Drive, OneDrive, and IMAP ingestion plus ArcoreVox voice/TTS event integration
API Endpoints
| Method | Path | Description |
|---|---|---|
| GET | /api/v2/search | Search the document corpus, filters, and extracted metadata |
| POST | /api/v2/documents/[id]/extract | Run structured extraction for a specific document |
| GET | /api/v2/workflow/review-queue | Retrieve documents awaiting human review |
| POST | /api/v3/documents/bulk/pii-scan | Launch bulk PII scanning over selected documents |
| GET | /api/v3/events/stream | Subscribe to real-time async job and document activity events |
Usage Example
python
import requests
# Example interaction
response = requests.get(
url="https://api.arcore.internal/api/v2/search",
headers={"Authorization": "Bearer <session-or-api-context>"}
)
print(response.json())Recommended next products
Tech Stack
Next.jsTypeScriptPostgreSQLRedis/CeleryPaperless-ngxNextAuth.jsBullMQOpenAI GPTGoogle Gemini
Authentication
- •**Session:** NextAuth.js session cookies for signed-in users
- •**Roles:** `viewer`, `editor`, and `admin` permissions gate document, workflow, and admin operations
- •**Credentials:** External connector credentials are encrypted with AES-256-GCM before storage
Compliance & Security
Compliance
- ✓Privacy: `PRIVACY_MODE=true` can force local-only model usage and disable external AI providers
- ✓PII Safety: Detection, redaction, and masked export flows reduce sensitive-data exposure in downstream use
- ✓Auditability: Access logs, AI usage logs, workflow trails, and connector audit events capture document operations
- ✓Governance: Low-confidence classifications and extraction flows can be routed to human approval before operational use
Security
- ✓Auditability: Access logs, AI usage logs, workflow trails, and connector audit events capture document operations
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