Graniite Docs
REST API overviewUploads

Step 3 (PDF/image): finalize a document upload and extract text synchronously.

Call after PUT-ing the PDF or image to the signed URL. Server downloads the bytes, runs magic-byte verification, extracts text (unpdf for PDFs, Claude vision OCR for images), generates a thumbnail, creates the user_items row, and DELETES the original file from Storage (the contents row only carries the transcript + thumbnail path — PDFs and images are ephemeral in document-uploads by design). Returns status='ready' — no async polling needed. Image OCR counts against the user's transform quota; PDFs are free. Rate limit: 30/hr per token.

POST
/uploads/finalize-document

Call after PUT-ing the PDF or image to the signed URL. Server downloads the bytes, runs magic-byte verification, extracts text (unpdf for PDFs, Claude vision OCR for images), generates a thumbnail, creates the user_items row, and DELETES the original file from Storage (the contents row only carries the transcript + thumbnail path — PDFs and images are ephemeral in document-uploads by design). Returns status='ready' — no async polling needed. Image OCR counts against the user's transform quota; PDFs are free. Rate limit: 30/hr per token.

Authorization

bearerAuth
AuthorizationBearer <token>

Per-user bearer token minted at /settings/integrations. Format: 'lev_' followed by 32 base64url chars. Each token carries a capability set (read | write) and a folder scope (whole library or a list of specific folders). Per-endpoint requirements are noted on each operation.

In: header

Request Body

application/json

TypeScript Definitions

Use the request body type in TypeScript.

Response Body

application/json

application/json

application/json

application/json

application/json

application/json

application/json

application/json

application/json

application/json

curl -X POST "https://example.com/uploads/finalize-document" \  -H "Content-Type: application/json" \  -d '{    "path": "string",    "mime": "string",    "size": 1  }'
{
  "status": "ready",
  "user_item_id": "bdbfc5c1-4635-4d6b-a226-2cb5d7e08712",
  "content_id": "713e4c61-5a69-43fb-a600-2e2699462e14",
  "folder_id": "7695bac3-9397-4ec2-9335-45a2a16f1901"
}
{
  "error": "string",
  "message": "string"
}
{
  "error": "string",
  "message": "string"
}
{
  "error": "quota_exceeded",
  "resource": "transcription_minutes",
  "tier": "free",
  "cap_per_month": 0,
  "message": "string"
}
{
  "error": "string",
  "message": "string"
}
{
  "error": "string",
  "message": "string"
}
{
  "error": "string",
  "message": "string"
}
{
  "error": "string",
  "message": "string"
}
{
  "error": "rate_limited",
  "retry_after_sec": 0
}
{
  "error": "string",
  "message": "string"
}

Step 3 (audio/video): finalize a media upload and submit for transcription. POST

Call after PUT-ing the file to the signed URL. Server downloads the bytes, runs magic-byte verification (so a renamed evil.mp3 with non-MP3 bytes is rejected), creates the contents + user_items rows, reserves transcription minutes against the user's monthly quota, and submits the file to AssemblyAI. Returns immediately with status='transcribing' — poll GET /items/{id} until transcription_status === 'done'. Single-folder-scoped tokens auto-file via the scope-size-1 rule. Rate limit: 30/hr per token.

MCP overview

The Model Context Protocol server at /api/mcp. Authentication, transport, and tools.