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.

340 models available

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

Showing 1-24 of 340 models

Text To Speech

hexgrad/Kokoro-82M

12.4M

6,698

Text To Speech

coqui/XTTS-v2

8.7M

3,732

coqui

Text To Speech

Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice

2.3M

1,888

Text To Speech

ResembleAI/chatterbox

2.1M

1,742

chatterbox

Text To Speech

onnx-community/Kokoro-82M-v1.0-ONNX

1.6M

246

transformers.js

Text To Speech

Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice

1.5M

175

Text To Speech

k2-fsa/OmniVoice

886K

1,272

omnivoice

Text To Speech

SWivid/F5-TTS

764K

1,193

f5-tts

Text To Speech

microsoft/VibeVoice-Realtime-0.5B

670K

1,271

transformers

Text To Speech

Serveurperso/Qwen3-TTS-GGUF

572K

32

gguf

Text To Speech

fishaudio/s2-pro

542K

1,253

Text To Speech

bosonai/higgs-tts-2-3b-base

537K

693

transformers

Text To Speech

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

521K

277

Text To Speech

openbmb/VoxCPM2

478K

1,534

voxcpm

Text To Speech

Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign

411K

390

qwen-tts

Text To Speech

ai4bharat/indic-parler-tts

356K

288

transformers

Text To Speech

pnnbao-ump/VieNeu-TTS-v3-Turbo

350K

48

Text To Speech

audio-cpp/audio.cpp-gguf

325K

54

audio.cpp

Text To Speech

speechbrain/tts-hifigan-libritts-22050Hz

313K

6

speechbrain

Text To Speech

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

239K

58

transformers

Text To Speech

kenpath/svara-tts-v1

239K

53

transformers

Text To Speech

bosonai/higgs-tts-3-4b

232K

714

transformers

Text To Speech

bosonai/higgs-audio-v2-generation-3B-base

199K

684

transformers

Text To Speech

OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5

194K

67

transformers

...

1 / 15

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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.