NEWMVS for embeddings. Managed for files. Both on object storage.Vectors or files. Pick a path.Start →

Start here

Vector Store (MVS)

Bring your own vectors. Dense, sparse, and BM25 search on object storage.

Managed Indexing

Connect a bucket and auto-extract scenes, faces, OCR, transcripts, and embeddings.

Build

Compose multi-stage search in <100ms: filter, join, rerank.

Feature Extractors

Typed pipelines for faces, scenes, transcripts, OCR, fingerprints.

S3, GCS, R2, Mux, LangChain, MCP, and more. Connect your stack.

Generate and store embeddings from 50+ models, then search them.

By Industry

Map, search, and reuse the moments that perform. Plugs into iconik & Mux.

Talent search, brand safety, creative analytics.

Scene search, recommendation, archive access.

Visual search, PDP enrichment, catalog QA.

Lecture search, transcript Q&A, content safety.

View all solutions →

By Use Case

Face & Person Search

Find anyone across video libraries in milliseconds.

IP & Copyright Detection

Logos, songs, faces: one pipeline, one report.

Visual Taste & Recs

Scene-similarity ranked recommendations with RL.

Brand & Ad Safety

Pre-publish content screening at bid-time speeds.

View all use cases →

Build & evaluate

API reference, SDKs, recipes, and architecture guides.

Browse supported HuggingFace models by task and modality.

Mixpeek vs. Pinecone, Weaviate, Twelve Labs, more.

See what teams are building with Mixpeek.

Learn

Best-of comparisons: vector DBs, embedding models, moderation APIs.

Vendor-neutral deep dives on perception, retrieval, and embeddings.

Launches, deep dives, and field notes from our engineers.

Papers behind multimodal search (MUVERA, SAM 3, and more) explained.

Every term you need: embeddings to re-rankers.

Videos, diagrams & university →

Mission, team, and the multimodal vision.

We're hiring across research, infra, and design.

Talk to sales, support, or press.

45-min working session on your data: leave with a running notebook.

Sign in Request Demo Get started →

Text To Speech Models

Browse AI models for multimodal decomposition and recomposition pipelines: plug any model into your extractors.

333 models available

Run models on your own files, free Schedule Demo Read Documentation

Showing 289-312 of 333 models

Text To Speech

tungpcco/Qwen3-TTS-12Hz-0.6B-Base

2K

Text To Speech

Supertone/supertonic-2

2K

393

supertonic

Text To Speech

facebook/mms-tts-tgl

2K

4

transformers

Text To Speech

Lucasllfs/Razo-piper-voice

2K

5

Text To Speech

parler-tts/parler-tts-mini-v1.1

2K

29

transformers

Text To Speech

unsloth/Spark-TTS-0.5B

2K

13

Text To Speech

contextboxai/ViZipvoice

2K

6

pytorch

Text To Speech

kakao-enterprise/vits-vctk

2K

15

transformers

Text To Speech

theoracleguy/OmniVoice-bf16

2K

1

mlx-audio

Text To Speech

onnx-community/chatterbox-multilingual-ONNX

2K

53

chatterbox

Text To Speech

FluidInference/pocket-tts-coreml

2K

6

coreml

Text To Speech

ai4bharat/vits_rasa_13

2K

13

transformers

Text To Speech

mlx-community/Voxtral-4B-TTS-2603-mlx-4bit

2K

20

mlx

Text To Speech

Aratako/MioTTS-1.7B

2K

14

transformers

Text To Speech

BricksDisplay/vits-cmn

2K

7

transformers.js

Text To Speech

bilalfaye/speecht5_tts-wolof

1K

1

Text To Speech

mlx-community/Qwen3-TTS-12Hz-1.7B-VoiceDesign-8bit

1K

6

mlx-audio

Text To Speech

mlx-community/fish-audio-s2-pro-bf16

1K

17

mlx-audio

Text To Speech

Aratako/MioTTS-0.1B

1K

20

transformers

Text To Speech

facebook/mms-tts-mya

1K

9

transformers

Text To Speech

zai-org/GLM-TTS

1K

335

glm-tts

Text To Speech

Xenova/mms-tts-vie

1K

2

transformers.js

Text To Speech

Cseti/VibeVoice_7B_hun_v2

1K

15

vibevoice

Text To Speech

theoracleguy/Kokoro-82M-bf16

1K

mlx

...

13 / 14

Previous

Connectors

Next

Retrievers

What's new in models

Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models: plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.