FLEURS

by Google Research

Don’t want to install FLEURS? Drop the file here.

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Few-shot multilingual evaluation across 102 languages — n-way parallel speech.

HuggingFace  ·  free

TL;DR

Best for cross-lingual ASR + LID + speech translation evaluation across 102 languages with parallel text. Pricing: free.

Category
Open source
Pricing
free
Platforms
HuggingFace

What it is

FLEURS (Few-shot Learning Evaluation of Universal Representations of Speech) is the read-speech sibling of FLoRes-101 — 102 languages × ~12h, fully parallel sentences. The reference multilingual benchmark for Whisper, MMS, USM. License: CC BY 4.0.

Best for: Cross-lingual ASR + LID + speech translation evaluation across 102 languages with parallel text.
Watch out for: CC BY 4.0 · ~12h/language · derived from FLoRes-101 sentences (read speech) · small per-language footprint. Cite: Conneau et al., SLT 2022.

Install / use

from datasets import load_dataset; ds = load_dataset('google/fleurs', 'en_us')

What people actually do with FLEURS-style transcription

The tool is the means. These are the jobs — each one priced at published rates, each one wired up on its own page.

Wire it into Amazon S3n8nMake.comGoogle DriveZapierSlack

Features

Speaker diarizationNo
Word-level timestampsNo
Streaming / real-timeNo
Languages supported102
HIPAA eligibleNo

FLEURS vs Whipscribe

FeatureFLEURSWhipscribe
CategoryOpen sourceTranscription APIs
Pricingfree$6–$24 one-time packs (credits never expire) · first 20 minutes free
Speaker identificationNoNamed in the summary, key quotes and chapters
Word timestampsNoYes
StreamingNoNo
Languages10299
PlatformsHuggingFaceWeb, API, MCP

Alternatives to FLEURS

Frequently asked about FLEURS

Is FLEURS free?

Yes. FLEURS is free and open source.

Does FLEURS work on Mac, Windows and Linux?

FLEURS runs on HuggingFace. It is not listed for other platforms; check the vendor for anything beyond HuggingFace.

How do I install FLEURS?

Download the installer for your platform from the vendor. No terminal needed.

How many languages does FLEURS support?

FLEURS lists 102 languages. That is the Whisper-family multilingual set, so quality varies by language — English and the large European languages are strongest.

Does FLEURS identify different speakers?

No. FLEURS does not label speakers; a conversation comes back as one continuous text. If you need speaker labels, that is a separate tool or a different service.

Does FLEURS give word-level timestamps?

No — FLEURS produces segment or sentence timing only, so subtitle cues can land mid-word.

Can FLEURS transcribe live audio?

No — FLEURS works on finished files, not a live stream.

Is FLEURS HIPAA compliant?

FLEURS does not claim HIPAA compliance. For PHI, run it on infrastructure you control or choose a service that will sign a BAA.

What are the limitations of FLEURS?

CC BY 4.0 · ~12h/language · derived from FLoRes-101 sentences (read speech) · small per-language footprint. Cite: Conneau et al., SLT 2022.

Who is FLEURS best for?

Cross-lingual ASR + LID + speech translation evaluation across 102 languages with parallel text.

Does FLEURS run offline?

FLEURS runs on your own machine — it is open source, so nothing leaves the computer unless you configure it to.

Can I use FLEURS in the browser?

No — FLEURS is a HuggingFace application, not a web app. You install it rather than sign in to it.

Where is the FLEURS source code?

On GitHub at github.com/google-research-datasets/fleurs. It is maintained by Google Research.

What kind of tool is FLEURS?

In this directory FLEURS is filed under benchmark, dataset as a open-source tool.

What are the alternatives to FLEURS?

There is a side-by-side page at /tools/fleurs-alternatives comparing FLEURS with the closest tools in the same category on price, platform and features.

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