Eden AI
AIUnified API that connects multiple leading AI providers for text, vision, speech, embeddings, and custom AI APIs.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
Eden AI
AI
Unified API that connects multiple leading AI providers for text, vision, speech, embeddings, and custom AI APIs.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About Eden AI
Eden AI provides a single, unified API that aggregates and normalizes access to many leading AI providers and engines, allowing developers to call text, vision, speech, translation, OCR, embeddings, and other services through one interface. It includes official SDKs and plugins (Python, Unity, TypeScript, etc.), open-source client libraries, and asynchronous workflow support to simplify integration and scaling. Eden AI also offers custom API development services to build tailored AI endpoints for products, reducing vendor lock-in and accelerating production deployment of multi-modal AI features.
Screenshots
+
+
+
Key Features
Unified Multi-Provider API: Single REST/API interface that proxies and normalizes requests to many underlying AI providers so developers can switch or combine providers without changing their application code.
Multi-Modal Support: Exposes capabilities across text generation, chat, embeddings, OCR, image processing, video recognition, speech-to-text and text-to-speech via consistent endpoints and parameter models.
Open-Source SDKs and Plugins: Official client libraries and example projects (Python, Unity, TypeScript, etc.) available on GitHub under permissive licensing to speed integration and development.
Provider Orchestration and Fallbacks: Ability to route requests to the best available engine, apply fallbacks, and compare results across providers to improve reliability and performance.
Custom API Development: Professional services to design and deliver bespoke AI APIs tailored to a product’s specific needs and scale requirements.
Asynchronous Workflows and Job Support: Built-in async features and workflow capabilities for long-running tasks like batch OCR, video analysis, and multi-step pipelines.
Result Normalization and Aggregation: Standardizes diverse provider outputs into consistent formats, simplifying downstream processing and reducing integration complexity.
Unified REST API aggregating multiple AI providers
Multi-provider routing and engine selection to use the best available model
Text generation and chat endpoints
Embeddings and semantic search support
Speech-to-text and text-to-speech capabilities
OCR and document parsing
Image and video recognition / image processing
Machine translation
Asynchronous features and workflow support
Official SDKs and plugins (Python SDK, Unity plugin, TypeScript examples)
Open-source client libraries (Apache-2.0 for edenai-apis)
Option for custom API development and hosted SaaS
Use Cases
Multi-vendor text generation and chat: Integrate a single chat/text endpoint that can use different underlying LLMs or fallback engines without rewriting application logic.
Speech and voice features for apps and games: Add speech-to-text and text-to-speech capabilities (including Unity integration) using the same Eden AI API and SDKs.
Document ingestion and OCR pipelines: Extract text from documents, normalize outputs from different OCR providers, and feed results to search or classification workflows.
Unified embeddings and semantic search: Generate embeddings from selected providers through one API, enabling consistent vector search and retrieval across datasets.
Image and video analysis: Run image classification, object detection, and video recognition using multiple providers and aggregate normalized results for decision-making.
Rapid prototyping and productionizing AI features: Use open-source SDKs and Eden AI’s custom API service to quickly test multiple provider engines and deploy a stable production endpoint.
Build cross-provider chatbots and conversational agents
Add TTS and STT features to games and apps (Unity integration)
Automate document ingestion and OCR for data extraction
Generate embeddings for semantic search and recommendation systems
Perform image/video analysis and document understanding pipelines
Quickly compare multiple provider outputs or failover between engines
Create custom, hosted AI APIs tailored to product needs
