Releasesby Glyphtranscribe-1 retirement
The transcribe-1 model and S1 are deprecated and will be retired on December 31, 2026. Users should migrate to transcribe-1-pro by updating the model header in their API requests.
Also shipped Oct 29, 2026Fish Audio in October 2026 →
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Gemini-powered Explore summaries in Looker are generally available
The ability to generate summaries of Looker Explores using Gemini assistance is now generally available.
Dashboard relationships are now generally available
Dashboard relationships, which enable multi-fact data models in AI/BI dashboards, are now generally available.
Looker bullet chart visualization is generally available
The bullet chart visualization type is now generally available in Looker, allowing users to evaluate metric performance against targets and thresholds.
Xero connector is available in Beta
The managed Xero connector is now available in beta for Databricks Lakeflow Connect, supporting incremental ingestion of accounting data.
More from Fish AudioEvery Fish Audio release →
More normalization languages
More normalization languages Text normalization now has rules for Turkish ( tr ) and Tagalog ( tl , fil ), and Portuguese follows Brazilian conventions, so pt-BR is supported too. Without language , Turkish and Tagalog text is detected, and Chinese written mostly in Traditional characters uses the Traditional Chinese rules. Supported normalization languages
TTS language field
TTS language field Text-to-speech requests accept an optional language field, a BCP-47 tag of the text such as en , es-MX , or zh-TW . It selects the rules used to spell out numbers, dates, units, and symbols before synthesis, and the language used for word timestamps. It does not change the voice, accent, or audio quality.
Drama 3
Drama 3 Text-to-speech model you direct in plain language. Describe tone, pacing, and character without a fixed set of audio tags. Use model ID drama-3 in the API. Drama 3 guide | Text to Speech API
Fish Audio S1 retirement
Fish Audio S1 retirement S1 is deprecated and will be retired on December 31, 2026. After that date, requests that specify s1 are served by s2.1-pro and billed as s2.1-pro , at the same price. To migrate, switch the model ID to s2.1-pro and convert (parenthesis) emotion tags to [bracket] tags. Migrate from S1 | Model deprecations
Transcribe 1 Pro
Transcribe 1 Pro Speech-to-text model for short clips and long recordings, including multi-speaker conversations. Transcripts can include inline speaker markers, speaker turns, and emotion and vocal-event cues. Use model ID transcribe-1-pro on POST /v1/asr Speech to Text | Models overview
Fish Audio S2.1 Pro
Fish Audio S2.1 Pro Production text-to-speech model that improves on S2-Pro in quality, latency, and throughput. Supports 83 languages on one model, with the same [bracket] natural-language control and multi-speaker dialogue as S2. Use model ID s2.1-pro for production workloads that need TTFA and DPA guarantees.
Fish Audio S2
Fish Audio S2 Next-generation text-to-speech model with inline emotion cues, multi-speaker dialogue support, and 80+ languages. S2 introduces [bracket] syntax for natural language control over emotion and paralinguistic cues (e.g., [whisper] , [laugh] , [emphasis] ).
Fish Audio S1
Fish Audio S1 Historic rebrand from Fish Speech to Fish Audio. #1 ranking on TTS-Arena2 with industry-leading performance. S1 (4B params): 0.008 WER, 0.004 CER - Available on Fish Audio Playground S1-mini (0.5B params): 0.011 WER, 0.005 CER - Open source on Hugging Face 64+ emotional expressions with RLHF integration and multilingual support for English...