Pollinations

What is Pollinations?

More than an audio tool

Our old listing called Pollinations an audio generator. The current homepage describes something broader: open infrastructure for AI-native builders, with models, agents, tools and a single API. It says you can generate images, video, speech, music and text, and build agents and apps on top. That makes it most useful to developers who want one integration instead of five separate vendor accounts.

What the homepage confirms

The page highlights an agent entry point at gen.pollinations.ai/llms.txt, a plain-text file written for AI agents and coding assistants that need to know how to call the service. That is a practical sign the platform expects to be used from code and from other AI tools, not only through a web form.

What I could not confirm

The homepage I opened says nothing about pricing, free allowances, rate limits, company details or the models behind each output type. I also found no statement of usage rights for generated media. Until you read the docs, you cannot know what a project will cost at scale or whether commercial use is allowed for each media type. I have left the price, company, headquarters and founding fields blank rather than guess.

How to evaluate it

Spend an hour before you commit. Call the image endpoint and the text endpoint from a script, measure latency, and check whether outputs vary in quality between runs. Read the terms for commercial use and for any attribution requirement. Look at how errors and rate limits are reported, because that is where a free-to-start API usually shows its limits.

If you only want a polished consumer app for making music or voiceovers, a dedicated product will serve you better. A text-to-speech or music service with a clear editor and licensing page gives less flexibility but fewer unknowns.

Who should skip it

Skip Pollinations if you need a guaranteed service level, a single support contact or clear pricing before you start. Try it if you are prototyping an app that needs several generation types and you are comfortable reading API docs. Decision rule: build the smallest working prototype on it, and only commit production traffic once you have the terms and limits in writing.

Key features

• Single API for several media types
• Image generation
• Video generation
• Speech and music generation
• Text generation
• Agent and app building tools
• llms.txt entry point for AI agents

Use cases

• Prototyping apps that mix text and images
• Adding generated media to a side project
• Giving coding agents a ready-made generation API
• Testing several model types through one integration