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

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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.

Media & data converters: no account, runs in your browser.

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 →

Audio To Audio Models

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

150 models available

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

Showing 1-24 of 150 models

Audio To Audio

nvidia/bigvgan_v2_22khz_80band_256x

1.7M

30

PyTorch

Audio To Audio

nvidia/bigvgan_v2_44khz_128band_512x

944K

76

PyTorch

Audio To Audio

nvidia/personaplex-7b-v1

274K

2,631

moshi

Audio To Audio

JusperLee/TIGER-DnR

191K

23

Audio To Audio

neuphonic/neucodec

111K

113

Audio To Audio

JacobLinCool/MP-SENet-DNS

59K

3

Audio To Audio

aufklarer/DeepFilterNet3-CoreML

54K

3

coreml

Audio To Audio

aufklarer/PersonaPlex-7B-MLX-4bit

49K

41

mlx

Audio To Audio

Qwen/Qwen3-TTS-Tokenizer-12Hz

43K

74

Audio To Audio

neuphonic/distill-neucodec

41K

20

Audio To Audio

nvidia/bigvgan_v2_24khz_100band_256x

27K

23

PyTorch

Audio To Audio

Aratako/MioCodec-25Hz-44.1kHz-v2

22K

11

Audio To Audio

JusperLee/TIGER-speech

20K

23

Audio To Audio

nvidia/RE-USE

17K

87

mamba-ssm

Audio To Audio

Aratako/MioCodec-25Hz-24kHz

12K

16

Audio To Audio

llm-jp/Llama-Mimi-8B

10K

12

transformers

Audio To Audio

speechbrain/metricgan-plus-voicebank

9K

71

speechbrain

Audio To Audio

kyutai/personaplex-rl-seamless

8K

28

moshi

Audio To Audio

JacobLinCool/MP-SENet-VB

8K

1

Audio To Audio

aufklarer/Sidon-CoreML

7K

coreml

Audio To Audio

LocalAI-io/LocalVQE

6K

63

pytorch

Audio To Audio

chenmozhijin/BSRoformer-GGUF

6K

Audio To Audio

neuphonic/neucodec-onnx-decoder

6K

15

Audio To Audio

mpariente/DPRNNTasNet-ks2_WHAM_sepclean

5K

9

asteroid

1 / 7

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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.