SuperAPI AI Directory

Text-Generator

Self-hostable AI text generation API with crawling, image analysis, and speech-to-text features.

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About this tool

Text-Generator is a self-hostable AI text generation API platform designed to let developers access leading AI models through a familiar API, covering capabilities such as chat, code, reasoning, and vision.

Main capabilities:

  • Unified API: Provides an OpenAI-compatible interface, so developers can point the OpenAI client to Text Generator without rewriting their application, thereby accessing a network of multiple model providers.
  • Model selection: Supports manually selecting a specific model, or using Auto mode to automatically match a suitable model for each request, balancing speed, quality, and cost.
  • Built-in fallback: When a provider is rate-limited or unavailable, requests can still continue to be processed.
  • Unified balance: A single top-up can be used for all routed models, with usage managed centrally in one account.
  • Key management: You can use the hosted gateway, or keep the option of using your own provider keys.
  • Privacy by design: The model selection process does not send prompts to another AI call.
  • Multi-surface use: Provides UI chat, playground, and built-in tools, as well as API calling methods.
  • Open source: The complete platform code from the API to the router is available on GitHub, supporting running it yourself and participating in improvements.

How to use:

  • After subscribing, you can use chat, UI tools, and provider APIs without limits; you can also start for free and add API credits as needed.
  • Call through the OpenAI-compatible API, supporting chat completions and streaming responses, aliases, Auto configuration and exact model IDs, as well as routing metadata and provider response headers.
  • Can be self-hosted, inspect the code, and run it.

Use cases:

  • Developers who need to build AI features with controllable cost and a privacy-first approach.
  • Applications that want unified access to multiple model providers and reduced integration effort.
  • Projects that need multimodal capabilities such as chat, code, reasoning, and vision.

Limitations:

  • The official text does not provide clear explanations regarding specific implementation details, pricing, or platform support for crawling, image analysis, and speech-to-text.