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speech emotion recognition

Label Studio

Open source data labeling tool for various data types and M/L integration.

Source rating 5.0 (63) 193k views 193k/mo traffic 0 saves Paid
speech emotion recognition audio transcription ai transcription audio
More categories (41)
voice recognition api ai speech recognition ai voice recognition voice transcription voice recognition voice recognition recognition voice transcription ai Voice recognition ai transcription Video transcription Data Tools(315) Text-to-video Computer Vision Data analysis Video Text-to-Audio Audio Language Models Data labeling DEVELOPER TOOLS AI detection Document extraction Video-to-video Image Segmentation All-In-One Image All-In-One Video Speech Recognition ai detection tool AI Data Analysis Tools ai video audio editor ai assisted data labeling open-source Machine Learning Artificial intelligence NLP Audio processing Video analysis Time-series analysis LLM fine-tuning RAG Evaluation
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Verdict

A quick read before you dig into the full page.

Best if
You are data Scientists and need: Computer Vision: Image classification, object detection, semantic segmentation
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Open source data labeling tool for various data types and M/L integration

Overview

Label Studio is an open source data labeling tool that supports multiple projects, users, and data types in one platform. It allows for different types of labeling with various data formats and integrates with M/L backends. It's a flexible platform for fine-tuning LLMs, preparing training data, or validating AI models.

Label Studio screenshot

Best for

Short scenarios where Label Studio tends to shine.

  • Computer Vision: Image classification, object detection, semantic segmentation

    Best for Data Scientists

  • Audio & Speech Applications: Classification, speaker diarization, emotion recognition, audio transcription

    Best for Machine Learning Engineers

  • NLP, Documents, Chatbots, Transcripts: Classification, named entity recognition, question answering, sentiment analysis

    Best for AI Researchers

  • Robots, Sensors, IoT Devices: Classification, segmentation, event recognition

    Best for Annotation Teams

  • Multi-Domain Applications: Dialogue processing, optical character recognition, time series with reference

    Best for Data Scientists

  • Video: Classification, object tracking, assisted labeling

    Best for Data Scientists

  • GenAI: LLM Fine-Tuning, LLM Evaluations, RAG Evaluation

    Best for Data Scientists

How it works

Label Studio can be installed via PIP, Brew, Git, or Docker. After installation, you can launch the tool, import data, create projects, and start labeling using customizable tags and templates.

Example outputs 1

Sample generations and before/after results for Label Studio.

Label Studio screenshot
Label Studio screenshot

Access & connections

Where you can use Label Studio, and what it plugs into.

Platforms

Web

Integrations

Webhooks

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Support for multiple data types (images, audio, text, video, time series)
  • Configurable layouts and templates
  • Integration with ML/AI pipelines via Webhooks, Python SDK, and API
  • ML-assisted labeling
  • Connection to cloud storage (S3, GCP)
  • Data Manager with advanced filters
  • Multiple projects and users support

People also view

Tools that often show up alongside Label Studio in collections and comparisons.

In the news

Launch coverage and community mentions for Label Studio.

FAQ 6

What is Label Studio?
Label Studio is an open source data labeling tool that supports multiple projects, users, and data types in one platform. It allows for different types of labeling with various data formats and integrates with M/L backends. It's a flexible platform for fine-tuning LLMs, preparing training data, or validating AI models.
How to use Label Studio?
Label Studio can be installed via PIP, Brew, Git, or Docker. After installation, you can launch the tool, import data, create projects, and start labeling using customizable tags and templates.
What data types does Label Studio support?
Label Studio supports images, audio, text, time series, multi-domain, and video data types.
How can I integrate Label Studio with my ML/AI pipeline?
Label Studio provides Webhooks, a Python SDK, and an API to authenticate, create projects, import tasks, manage model predictions, and more.
Is Label Studio open source?
Yes, Label Studio is an open source data labeling tool.
What is Label Studio Enterprise?
Label Studio Enterprise offers additional features for evaluations, team management, security, and analytics. Contact sales for pricing.
Label Studio
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