AI Text API · 17 tools

Best AI Text API Tools (2026)

Compare AI text API providers for LLM chat, text generation, embeddings, speech-to-text, pricing, and free tiers.

All AI Text API tools

RunAPI logo
runapi.co
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Unified AI API gateway that routes a single key across 150+ chat, image and video models from OpenAI, Anthropic, Google, DeepSeek, Kimi and Grok, positioned as a domestic OpenRouter alternative.

CoderPlan logo
coderplan.ai
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CoderPlan is an OpenAI-compatible LLM API gateway for Claude, GPT, Gemini, DeepSeek, and Grok, built for developers using Claude Code, Codex CLI, and Gemini CLI.

Atlas Cloud logo
www.atlascloud.ai
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Atlas Cloud is a full-modal AI inference platform providing a unified API for 300+ models across text, image, video, and audio. Pay-as-you-go, OpenAI-compatible, with Day-0 access to the latest models from OpenAI, Google, ByteDance, Alibaba, and more.

What is an AI text API?

An AI text API lets developers add language features to apps over HTTP — text generation, chat, embeddings, and speech-to-text — without training models themselves. You send a request and get back generated text, a vector, or a transcript. Providers range from large LLM platforms to focused embedding or transcription APIs.

Core features to look for

  • LLM chat and text-generation endpoints
  • Text embeddings for search and RAG
  • Speech-to-text and text-to-speech
  • Streaming, function calling, and JSON output
  • Usage-based pricing and rate limits
  • SDKs, free tiers, and open-model options

Who uses AI text APIs, and how

01

LLM text generation

Add chat, summarization, or drafting to an app via a completion API.

02

Embeddings & search

Generate vectors for semantic search, RAG, and recommendations.

03

Speech APIs

Transcribe audio or synthesize voice with speech-to-text and TTS.

04

Free & pricing

Compare free tiers, per-token cost, rate limits, and open models.

How does an AI text API work?

AI text APIs host models on the provider's servers and expose them over HTTP. You send a prompt or audio with your API key, the model runs remotely, and the response returns as text, a vector, or a transcript — usually billed per token or per minute. SDKs and streaming make integration easier.

Frequently asked questions