Whisper API, run by Lemonfox.ai, is a speech-to-text service that turns audio into written text with the Whisper Large V3 model. It suits developers who need transcription inside an app, and non-technical users can use the companion Transcripo tool. Speaker detection, 100+ languages and an OpenAI-compatible API are the main draws.
Speaker detection labels the different speakers within one audio file, which helps with meetings, interviews and podcasts. Language support covers more than 100 languages, with translation into English, and the service accepts audio from podcasts, videos and meetings in a range of formats. Because the API is OpenAI-compatible, an integration built for OpenAI’s transcription endpoint can usually switch over with minimal changes, mainly the base URL and key. If you are comparing backend services for an app, our guide to chat API providers for SaaS applications covers a related part of the stack.
Developers building products with transcription are the main audience, while Transcripo covers manual transcription without code. Lemonfox.ai offers 30 hours of free transcription in the first month, then pay-as-you-go pricing at $0.17 per hour. Costs scale with the hours you transcribe, so estimate your monthly volume before committing.
Frequently asked questions
What is Whisper API?
Whisper API is a speech-to-text service from Lemonfox.ai built on the Whisper Large V3 model. It converts audio from podcasts, videos and meetings into text through an API.
Is Whisper API compatible with OpenAI’s API?
Yes, it is described as OpenAI-compatible. Integrations written for OpenAI’s transcription endpoints can switch to it with minimal changes.
Does Whisper API offer a free trial?
Lemonfox.ai offers 30 hours of transcription in the first month. After that you pay per hour.
Can it tell speakers apart?
Yes, speaker detection identifies and labels multiple speakers in one file. Accuracy varies with audio quality.
How many languages does it support?
It supports more than 100 languages and can translate speech into English.









