Who should use MOSS Transcribe Diarize?

MOSS Transcribe Diarize is a B2B product built for journalists.

Does MOSS Transcribe Diarize have a free plan?

Yes — MOSS Transcribe Diarize is free to use.

What platforms does MOSS Transcribe Diarize run on?

MOSS Transcribe Diarize runs on the web. It can also be self-hosted.

Is MOSS Transcribe Diarize still maintained?

Unverified. MOSS Transcribe Diarize has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

Who makes MOSS Transcribe Diarize?

MOSS Transcribe Diarize is developed by OpenMOSS-Team.

How long has MOSS Transcribe Diarize been around?

MOSS Transcribe Diarize first shipped in 2024.

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MOSS Transcribe Diarize

Name: MOSS Transcribe Diarize
Author: OpenMOSS-Team

huggingface.coSpeech to text

MOSS Transcribe Diarize is a web app that converts audio or video files into text, identifies individual speakers, and adds timestamps. It is ideal for journalists, researchers, and professionals who need accurate, speaker-attributed transcripts for interviews or meetings.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

MOSS Transcribe Diarize is a Speech to text project. It focuses on transcribing audio or video files and identifying speakers automatically for easier review and analysis. MOSS Transcribe Diarize is a B2B product aimed at journalists. It is available for free. It runs on the web, and it can be self-hosted.

Behind MOSS Transcribe Diarize is OpenMOSS-Team, and it first shipped in 2024. Among its 5 catalogued features are audio transcription, speaker diarization, and timestamping.

Summary written by a language model from the project’s public pages.

Audio transcription
Speaker diarization
Timestamping
File upload
Transcript download

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 21:52 UTC
OpenMOSS-Team/MOSS-transcribe-diarize verified against its public source
Source: PulseGate · Open

Frequently asked questions about MOSS Transcribe Diarize

What does MOSS Transcribe Diarize do?: MOSS Transcribe Diarize focuses on transcribing audio or video files and identifying speakers automatically for easier review and analysis. It is catalogued under Speech to text on PulseGate.
Who should use MOSS Transcribe Diarize?: MOSS Transcribe Diarize is a B2B product built for journalists.
Does MOSS Transcribe Diarize have a free plan?: Yes — MOSS Transcribe Diarize is free to use.
What platforms does MOSS Transcribe Diarize run on?: MOSS Transcribe Diarize runs on the web. It can also be self-hosted.
Is MOSS Transcribe Diarize still maintained?: Unverified. MOSS Transcribe Diarize has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who makes MOSS Transcribe Diarize?: MOSS Transcribe Diarize is developed by OpenMOSS-Team.
How long has MOSS Transcribe Diarize been around?: MOSS Transcribe Diarize first shipped in 2024.

At a glance

Platforms: Web
Languages: English
Built for: journalists
Model: B2B
Solves: Transcribing audio or video files and identifying speakers automatically for easier review and analysis.

Registered as

Hugging Face Spaces: OpenMOSS-Team/MOSS-transcribe-diarize

Developer

OpenMOSS-Team

Index record

Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: openmoss-team-moss-transcribe-diarize-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/OpenMOSS-Team/MOSS-transcribe-diarize

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