Fish Audio
Fish Audio is a text-to-speech and voice-cloning service, used through a web studio or an API, with a large library of community-made voices. The company also releases open-weight speech models such as S2 Pro and Drama 3.
#17 in Video & Audio ToolsText to Speech & AI VoiceFree plan
Who it's for
Best for
Audiobook narrators who need expressive delivery and line-by-line tags
Developers who want an API or open weights to run locally
Not for
Teams that need consistent takes on the first try
Free plan$0
Plus$15/mo
Pro$100/mo
Max$999/mo
Features
Emotion tags
Write tags such as whisper, sigh or a described feeling into the text to direct delivery line by line.
15-second voice cloning
Clone a voice from a short sample recorded or uploaded in the browser.
2M+ voice library
Browse more than two million community and professional voices in eight languages.
Open-weight models
Models such as S2 Pro and Drama 3 are published as open weights under the Fish Audio license.
Developer API
Real-time text-to-speech and cloning through an API and MCP server.
What users say
Pros
- Natural delivery and prosody stay easy to listen to over long narration.
- Voice cloning produces remarkably natural results across diverse speech samples.
- The open Drama 3 model runs locally on 8 to 16 GB home graphics cards.
Cons
- Usable takes often need many regenerations, and credits drain fast.
- Output is uneven: quality shifts, stiff reads, odd upspeak and voice breaks.
- Refunds and cancellations are hard, and customer service can go quiet for weeks.
- Running Drama 3 locally takes long setup, generates slower than real time, and some takes come out silent.
A selection of the review sources we used:
Summarized from public user reviews and community discussions. View details
Global Traffic Rank
Top 10k
Alternatives
Rank#17 in category#6 in category#24 in category#29 in category
Free planYesYesYesYes
ProEasy-listening long reads, lifelike clones, runs on home GPUsMost natural voices, top-rated transcription, cheap for hobby useNatural voices, cheaper than audiobooks, textbook listeningStreaming-first design, working agent pipelines
Better forReading PDFs, documents, and web pages aloud with synchronized text highlightingBuilding live conversational voice agents that need ultra-low streaming latency
Weaker atControlling line-by-line vocal delivery with emotion tags such as whispers or sighsProviding open-weight models to download and run locally on consumer GPUs