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Free multilingual online text-to-speech generator with a paid Pro tier for higher character limits and more voices.
Crypto exchange with built-in trading bots; established, high traffic.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦600+ AI voices across 100+ languages
- ✦Free weekly character quota with unlimited use on some voices
- ✦Pause insertion and speech pacing controls
- ✦Multi-voice dialogue editor (Pro)
- ✦MP3 download and audio history
- ✦Commercial usage rights for generated audio
- ✦API access on paid tiers
- ✦In-built crypto trading bots
- ✦Spot and futures trading
- ✦Structured earning products
- ✦Mobile app support
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- →Creating narration or voiceovers for videos
- →Making audiobooks or reading e-books aloud
- →Generating accessible audio versions of articles
- →Producing multi-speaker dialogue audio for content creators
- →Automated trading of Bitcoin and Ethereum
- →Earning passive income through structured products
- →Arbitrage trading between different exchanges
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions