Fish Audio is an AI audio platform covering text-to-speech (TTS), voice cloning, speech-to-text (STT), sound effect generation, and vocal removal. It is powered by the Fish Audio S2 model \u2014 an open-weights foundation model trained on over 10 million hours of audio across 80+ languages \u2014 which combines a Dual-Autoregressive architecture with reinforcement learning alignment to produce speech that is natural, emotionally expressive, and benchmark-leading against both open-source and closed-source competitors. The platform hosts over 2,000,000 community voice models spanning a wide range of styles, accents, ages, and languages, all browsable without an account.<\/p>\n
A key differentiator is Fish Audio’s inline emotion tag system, which lets creators embed fine-grained performance instructions (e.g. [whispering], [excited], [angry]) directly in the script at the word or phrase level \u2014 going beyond the sentence-level sliders or presets offered by rivals like ElevenLabs and Murf. Voice cloning requires as little as 10\u201315 seconds of reference audio and supports cross-lingual output, meaning a voice cloned from one language can generate speech in another without re-recording. The API uses pay-as-you-go pricing at approximately $15 per million characters, significantly below comparable services.<\/p>\n
For podcasters specifically, Fish Audio offers a dedicated transcription tool that converts audio to text with automatic emotion tags, speaker labels, and timestamps, exporting to SRT, VTT, or JSON. The platform also includes a Team Plan on Pro subscriptions, giving up to three members a shared credit pool and shared voice library \u2014 designed for podcast production teams, content agencies, and indie game studios.<\/p>\n","protected":false},"excerpt":{"rendered":"
Fish Audio is an AI audio platform covering text-to-speech (TTS), voice cloning, speech-to-text (STT), sound effect generation, and vocal removal. It is powered by the Fish Audio S2 model \u2014 an open-weights foundation model trained on over 10 million hours of audio across 80+ languages \u2014 which combines a Dual-Autoregressive architecture with reinforcement learning alignment […]<\/p>\n","protected":false},"author":0,"featured_media":0,"template":"","pt_category":[],"pt_type":[],"pt_pricing":[23],"pt_best_for":[],"pt_tag":[],"class_list":["post-221","pt_resource","type-pt_resource","status-publish","hentry","pt_pricing-freemium"],"_links":{"self":[{"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_resource\/221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_resource"}],"about":[{"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/types\/pt_resource"}],"version-history":[{"count":1,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_resource\/221\/revisions"}],"predecessor-version":[{"id":222,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_resource\/221\/revisions\/222"}],"wp:attachment":[{"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/media?parent=221"}],"wp:term":[{"taxonomy":"pt_category","embeddable":true,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_category?post=221"},{"taxonomy":"pt_type","embeddable":true,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_type?post=221"},{"taxonomy":"pt_pricing","embeddable":true,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_pricing?post=221"},{"taxonomy":"pt_best_for","embeddable":true,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_best_for?post=221"},{"taxonomy":"pt_tag","embeddable":true,"href":"https:\/\/podwires.com\/podtoolbox\/wp-json\/wp\/v2\/pt_tag?post=221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}