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 169-192 of 333 models

Text To Speech

freyavoice/Freya-TTS

3K

22

freyatts

Text To Speech

mistralai/Voxtral-4B-TTS-2603

3K

890

vllm

Text To Speech

saheedniyi/YarnGPT2

3K

7

transformers

Text To Speech

neuphonic/neutts-nano-spanish

3K

11

Text To Speech

cstr/qwen3-tts-1.7b-base-GGUF

3K

6

ggml

Text To Speech

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

3K

10

mlx-audio

Text To Speech

herimor/voxtream2

3K

8

voxtream

Text To Speech

Mungert/maya1-GGUF

3K

transformers

Text To Speech

cstr/kokoro-voices-GGUF

3K

2

ggml

Text To Speech

facebook/mms-tts-fas

3K

8

transformers

Text To Speech

facebook/mms-tts-kan

3K

4

transformers

Text To Speech

Zyphra/ZONOS2-GGUF

3K

2

gguf

Text To Speech

onecxi/csm-english-multi-speaker-v2

3K

2

transformers

Text To Speech

tonythethompson/CosyVoice-300M-ONNX

3K

cosyvoice

Text To Speech

facebook/mms-tts-tgk

3K

4

transformers

Text To Speech

cocktailpeanut/oa

3K

1

Text To Speech

laion/moss-tts-local-transformer-4.55b-voice-acting

3K

1

transformers

Text To Speech

facebook/mms-tts-tha

3K

16

transformers

Text To Speech

neuphonic/neutts-nano

3K

72

Text To Speech

cstr/chatterbox-GGUF

3K

2

ggml

Text To Speech

canopylabs/orpheus-3b-0.1-pretrained

3K

170

transformers

Text To Speech

ayousanz/piper-plus-tsukuyomi-chan

3K

11

Text To Speech

pnnbao-ump/VieNeu-TTS-0.3B-lora-ngoc-huyen

3K

4

peft

Text To Speech

facebook/mms-tts-sqi

3K

4

transformers

......

8 / 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.