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 145-168 of 333 models

Text To Speech

facebook/mms-tts-spa

4K

24

transformers

Text To Speech

DennisHuang648/VoxCPM2-GGUF

4K

12

gguf

Text To Speech

ekwek/Soprano-1.1-80M

4K

213

transformers

Text To Speech

pnnbao-ump/VieNeu-TTS-0.3B-q8-gguf

4K

5

Text To Speech

FunAudioLLM/CosyVoice2-0.5B

4K

83

Text To Speech

SebastianBodza/Kartoffel_Orpheus-3B_german_natural-v0.1

4K

17

transformers

Text To Speech

facebook/mms-tts-urd-script_arabic

4K

11

transformers

Text To Speech

cstr/vibevoice-realtime-0.5b-GGUF

4K

7

ggml

Text To Speech

parler-tts/parler_tts_mini_v0.1

4K

358

transformers

Text To Speech

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

4K

8

transformers.js

Text To Speech

fishaudio/fish-speech-1.5

4K

767

Text To Speech

facebook/mms-tts-tam

4K

13

transformers

Text To Speech

facebook/mms-tts-kor

4K

16

transformers

Text To Speech

SebastianBodza/Kartoffel_Orpheus-3B_german_synthetic-v0.1

4K

9

transformers

Text To Speech

canopylabs/3b-de-ft-research_release

4K

18

transformers

Text To Speech

maya-research/Veena

4K

237

transformers

Text To Speech

jetjodh/orpheus-3b-0.1-ft

4K

transformers

Text To Speech

drbaph/LongCat-AudioDiT-3.5B-bf16

4K

6

transformers

Text To Speech

keanteng/sesame-csm-elise

3K

10

transformers

Text To Speech

NMikka/omnivoice-finetuned-ka

3K

3

transformers

Text To Speech

Nadhari/swa-csm-1b

3K

6

Text To Speech

aufklarer/Supertonic-3-CoreML

3K

coreml

Text To Speech

lex-au/Orpheus-3b-FT-Q8_0.gguf

3K

30

Text To Speech

dots-studio/dots.tts-mf

3K

27

dots_tts

......

7 / 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.