AI APIs
AI APIs provide programmatic access to model capabilities — from inference endpoints (OpenAI, Anthropic, Replicate) to specialized services for embeddings, image generation, speech, and more.
Access to GPT-4o, o1/o3, DALL-E 3, Whisper, embeddings — function calling, assistants, fine-tuning.
Anthropic's API for Claude models — tool use, vision, extended thinking, 200K context. Opus/Sonnet/Haiku.
Managed vector database — serverless, sub-second similarity search for billions of embeddings.
Agent-native web APIs — search returning LLM-ready excerpts, deep-research tasks with calibrated evidence.
AI search engine — direct answers with citations, Pro Search, Focus modes, research Spaces.
OpenAI's managed agent API — persistent assistants with code interpreter, file search, threads.
Enterprise AI API — Command R+ generation, multilingual embeddings, reranking, RAG connectors.
Open-source model API — Llama, Mixtral, 100+ models, fine-tuning, competitive pricing.
Serverless inference API with sub-second cold starts.
API to turn websites into LLM-ready markdown — crawl, scrape, and map with JS rendering.
MLOps API for experiment tracking and model management.
Gen-3 Alpha video generation API.
Professional image generation for design assets.
Open-source monetization API for developer tools.
Real-time prompt injection and LLM threat detection API.
ML experiment tracking and model monitoring API.
Cohere's reranking model boosting search relevance 20-40%.
Enterprise SSO, SCIM, and identity management API.
Search API for AI agents — clean web content, answer extraction, designed for RAG and LLM apps.
Enterprise AI presenter video generation API.
Stable Diffusion API for image and video generation.
Search engine scraping API — Google, Bing results as structured JSON with proxy handling.
Game asset generation API with consistent art styles.
Fast Google search results API with geo-targeting.
Expressive voice AI for narration and audiobooks.
LinkedIn data extraction API for enrichment workflows.
Search-augmented LLM API — built-in web search, real-time citations, Sonar models.
Scalable experiment tracking and model registry API.
Dream Machine API for photorealistic video generation.
Document parsing API — complex PDFs with tables and charts to structured markdown for RAG.
Free API to convert URLs to LLM-friendly text — prefix any URL with r.jina.ai for clean content.
High-performance embedding models by Jina.
AI avatar video generation in 175+ languages.
Google's prototyping IDE for Gemini models.
Flux image generation models — photorealistic quality, fast inference, available via multiple APIs.
Fast inference API — optimized open-source models, function calling, grammar-based structured output.
Neural search API — meaning-based search, full content retrieval, similarity search for AI agents.
AI web extraction with 10B+ entity knowledge graph.
DeepSeek models API — V3 and R1 reasoning, strong coding, extremely competitive pricing.
Real-time company and person data enrichment API.
Enterprise B2B company and contact data API.
xAI's Grok API — real-time X data access, Grok-2 generation, vision, OpenAI-compatible.
Domain-specific embedding models for RAG.
Stable Diffusion API — image generation, editing, upscaling, SD3/SDXL, video, and 3D models.
Autonomous speech recognition with industry-leading multilingual accuracy.
Speech-to-text API built on decade of human transcription data.
Multimodal-first API — vision, audio, video understanding across Core/Flash/Edge models.
Multi-modal PII detection and redaction API for 49 languages.
Multi-model AI platform with GPT-4, Claude, and Gemini.
Ultra-realistic AI voice generation — voice cloning from 30s, 142 languages, emotion controls.
Mistral models API — Large/Small/Codestral, strong efficiency, EU data residency, fine-tuning.
Ultra-low-latency streaming TTS API for conversational AI.
All-in-one payments API with global tax compliance.
Ultra-fast LLM API on custom LPU hardware — 500+ tok/s, Llama/Mixtral, OpenAI-compatible.
Google's multimodal API — Gemini 2.5 Pro/Flash, 1M context, video understanding, grounding.
Enterprise audio transcription API with multi-engine accuracy across 100 languages.
Most realistic AI voice API — TTS, voice cloning, 29 languages, streaming, dubbing.
Universal API aggregating 100+ AI providers.
Speech-to-text API — Nova-2, real-time streaming, diarization, sentiment, 36+ languages.
Enterprise speech AI with real-time transcription and speaker diarization.
AI talking head videos and streaming avatars from static images.
Fastest LLM inference — 2000+ tok/s on custom wafer-scale chips, Llama models, OpenAI-compatible.
State-space model TTS with ultra-low latency for voice agents.
Independent search API — web, news, images, summarizer, privacy-respecting, free tier.
Speech-to-text with intelligence — Universal-2, summarization, PII redaction, LeMUR for audio LLM.
Speech-to-text with audio intelligence, summarization, and PII redaction.
275M+ contacts database API for sales intelligence.
AI21's Jamba model API with 256K context.
Jamba models API — hybrid SSM-Transformer, 256K context, summarization, enterprise fine-tuning.
OpenAI's API provides access to GPT-3 and GPT-4 models, which performs a wide variety of natural language tasks, and Codex, which translates natural...
AI image generation with superior text rendering — logos, posters, designs with accurate text.
Transform voice to text accurately across 125+ languages, real-time, customizable,...
Revolutionizes video understanding with AI, enabling natural language search and content...
Transform apps with advanced, multi-language voice AI; easy integration,...
An AI system by OpenAI that translates natural language to...
Unlock AI capabilities easily with 100+ models, serverless, cost-effective, OpenAI...
Contify News API delivers tailored, real-time business intelligence from over 500,000...
Data Extraction API for Documents, Images, and...
Low cost Text-to-Speech API with human-like AI...
Multilingual, rapid audio/video-to-text transcription with seamless API integration and broad format...
Review - Scalable and highly customizable, ideal for integration into enterprise...
Cohere provides access to advanced Large Language Models and NLP...
Real-time voice and video integration for...
Whisper API is a Transcription API Powered By OpenAI Whisper model. Get 5 free transcriptions daily (no duration limits) with robust control over the...
Accurate speech-to-text API for all languages beyond just English....
A universal commerce gateway for AI agents to interact with UCP-enabled stores. Enables live product discovery, real-time catalog search, and checkout generation across verified Shopify stores (e.g., Allbirds, Gymshark). Use this to find products, verify merchant capabilities, and facilitate end-to-
AgentMail is the email inbox API for AI agents. It gives agents their own email inboxes, like Gmail does for humans.
Enhanced and upscaled photos for businesses with...
Revolutionize motion tracking with AI-driven real-time...
AI-powered precious metals data. Live gold/silver/platinum/palladium spot prices, COMEX vault inventory, Stack Signal market intelligence, junk silver melt calculator, historical price data, and what-if speculation tools. No auth required for public endpoints.
AskMia eSIM API - Search, browse, and purchase prepaid eSIM data plans for 190+ countries. List available countries, search packages by destination, check network coverage, and generate Stripe checkout links for instant eSIM delivery. No API key required; optional key for higher checkout rate limits
Automate workflows with advanced AI for e-commerce, content, and...
Streamline AI service integration and management with unified...
33 tools for Japanese financial data. Financials, ownership trajectories, buyback tracking, board composition, and translated filings for 4,000+ listed companies. Audited XBRL from EDINET, not scraped. Free API key at axiora.dev
WebApi.ai is an advanced chatbot builder that leverages GPT3-based conversational AI...
Premium AI translation, more accurate than Google
Revolutionize NLP access: cost-effective, fast, easy integration, diverse...
GPT-5.5 - https://news.ycombinator.com/item?id=47879092 - April 2026 (1010 comments)
A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
What are AI APIs?
AI APIs are the programmatic backbone of AI applications. They provide access to model capabilities (text, image, audio, video generation), specialized services (embeddings, transcription, search), and infrastructure (inference routing, fine-tuning). The landscape includes direct provider APIs (OpenAI, Anthropic, Google), inference platforms (Replicate, Together, Fireworks), and aggregation layers (OpenRouter, LiteLLM).
How to Choose
Match the API to your requirements: latency (real-time vs. batch), cost (per-token vs. per-request vs. flat rate), reliability (SLA, uptime guarantees), and features (streaming, function calling, vision). For production applications, evaluate rate limits, error handling, and failover options. Consider multi-provider setups for resilience.
Key Capabilities to Evaluate
Common Patterns
Call OpenAI, Anthropic, or Google directly. Highest reliability, latest models, but vendor lock-in.
Route through OpenRouter, LiteLLM, or similar. Provider abstraction, fallback routing, but added latency.
Run open models on your infrastructure via vLLM, TGI, or Ollama. Full control, no per-token costs, but requires GPU management.
Run small models at the edge for low-latency use cases. Cloudflare Workers AI, Vercel AI SDK edge runtime.
What to Watch Out For
Top Capabilities
Browse all →Analyzes selected code or entire files and generates natural language explanations of what the code does, how it works, and why certain patterns were chosen. The feature can produce documentation in multiple formats (docstrings, comments, markdown) and supports various documentation styles (JSDoc, Sphinx, etc.). Developers can request explanations at different levels of detail (high-level overview, line-by-line breakdown, architectural context) through the chat interface, with responses appearing as formatted text or code comments.
Cody utilizes a context-aware engine that analyzes the current file and project structure to provide relevant code completions. It integrates with the Visual Studio Code API to access the Abstract Syntax Tree (AST) of the code, allowing it to suggest completions that are semantically relevant to the context, rather than relying solely on keyword matching. This approach ensures that the suggestions are not only syntactically correct but also contextually appropriate, enhancing developer productivity.
Converts natural language prompts into executable full-stack web applications by invoking an AI agent that generates React/Next.js frontend code, Node.js backend logic, and database schemas. The agent runs code in-browser via WebContainers to validate syntax and functionality before deployment, iterating on the generated code based on execution feedback. Token consumption scales with project complexity (larger codebases consume more tokens per iteration), and the agent supports design system imports from Figma and GitHub to accelerate UI generation.
Provides six model variants (tiny, base, small, medium, large, turbo) with parameter counts ranging from 39M to 1550M, enabling developers to choose optimal speed-accuracy tradeoffs. Tiny model runs at ~10x speed with 1GB VRAM; large model runs at 1x speed with 10GB VRAM. English-only variants (tiny.en, base.en, small.en) provide higher English accuracy by removing multilingual capacity. Turbo model (809M params) offers 8x speedup over large with minimal accuracy loss but lacks translation support.
Translates non-English speech directly to English text by using a task-specific token in the TextDecoder that signals translation mode, bypassing the need for intermediate transcription-then-translation pipelines. The AudioEncoder processes mel spectrograms identically to transcription, but the decoder generates English tokens directly from audio embeddings, reducing latency and error propagation compared to cascaded systems.
Transcribes audio in 98 languages to text in the original language using a unified Transformer sequence-to-sequence architecture with a shared AudioEncoder that processes mel spectrograms into language-agnostic embeddings, then a TextDecoder that generates tokens autoregressively. The system handles variable-length audio by padding or trimming to 30-second segments and uses task-specific tokens to signal transcription mode, enabling a single model to handle multiple languages without language-specific branches.
Detects the spoken language in audio by processing mel spectrograms through the AudioEncoder and using a language classification head that outputs probability distributions over 98 supported languages. The model leverages 680K hours of multilingual training data to recognize language characteristics from acoustic features alone, without requiring transcription. Language detection occurs as a preliminary step in the transcription pipeline and can be called independently via the language detection task token.
W&B Personal tier (free) and Enterprise tier support self-hosted deployment via Docker, enabling on-premise installation for teams with data residency or security requirements. Self-hosted instances run independently from W&B cloud, with optional integration to W&B cloud for cross-instance features. Supports custom domain configuration, HTTPS, and integration with corporate identity providers (LDAP, SAML, OAuth).
Browse Other Types
Autonomous AI systems that act on your behalf
ModelsFoundation models, fine-tunes, and specialized AI models
MCP ServersModel Context Protocol tools and integrations
RepositoriesOpen-source AI projects on GitHub
ExtensionsBrowser and IDE extensions powered by AI
WorkflowsAutomation sequences and AI pipelines
View all 19 types →Frequently Asked Questions
What is the cheapest AI API for text generation?
For high-volume text generation, self-hosted open models (via vLLM or Ollama) eliminate per-token costs. Among hosted APIs, together.ai and groq offer competitive pricing for open models. For proprietary models, GPT-4o Mini and Claude Haiku offer strong capability at low cost.
How do I handle AI API rate limits in production?
Implement exponential backoff with jitter, use request queuing with concurrency limits, consider multi-provider failover (OpenRouter or custom routing), and cache common responses. For high-volume use cases, request rate limit increases from providers early.