Fixes
- Added support for NSFW API when images are not available
- Added support for HTML to Any now works with all HTML tags as input
- Fixed File Upload now works with Embedding v2
- Fixed VOCR for PDF in certain edge cases
- Fixed AI Scraper returning invalid JSON for empty element_prompts
- Decrease latency for AI Scraper
DOCS
- Updated File Uploads documentation (Handling Files)[/docs/handling-files]
- Renamed embeddingV2 method to embedding_v2 for consistency
SDKs
- Updated the way multipart/form-data are handled for APIs involved with file uploads
- Renamed embeddingV2 method to embedding_v2 for consistency
Python
- Fixed blob inputs for Object Detection where previously features params was not respected
- Fixed blob inputs for VOCR where page range was not respected
- Established CI/CD pipeline for Python SDK
- Updated to pass x-jigsaw-no-request-log through headers. (Security)[/docs/security]
JavaScript
- Fixed blob inputs for Object Detection where previously features params was not respected
- Fixed blob inputs for VOCR where page range was not respected
Features
Embedding v2 is a new, flexible, and more powerful embedding model.- params:
speaker_fingerprint
a boolean value to switch on/off speaker identification. - response:
speaker_embeddings
a list of embeddings for the speaker.
Fixes
- fixed Speech to Text (STT) webhook
- fixed file upload overwrites error
API
- added embedding v2 API
SDKs
- additional type safety for all APIs
- added embedding v2
- added deep research
- removed Text to Speech (TTS) from SDKs
- brought back prompt engine
DOCS
- changelog introduction
- examples for all SDKs supported
- Vercel Integration and Marketplace
- Handling Files documentation