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60K+
Happy users worldwide
4.9

Free Audio to Text Converter

Convert any audio file into accurate text instantly. Upload a recording or speak into your microphone, select your language, and let AI transcribe every word with precision.

Drop your audio file here or click to browse

Supports MP3, WAV, OGG, M4A — Max 10 minutes

Select Audio Language

See all 20+ supported languages →

Create a free account to start transcribing audio

99%

Transcription Accuracy

20+

Languages Supported

10x

Faster Than Manual Typing

What Is an AI Audio to Text Converter?

An AI audio to text converter is a tool that uses automatic speech recognition (ASR) technology to transcribe spoken words from audio files into written text. Unlike manual transcription, which can take hours, an AI-powered converter processes recordings in minutes with up to 99% accuracy, automatically adding punctuation, capitalization, and paragraph formatting so the transcript is immediately usable.

TaskAGI's audio to text converter is powered by our advanced speech recognition engine, built on deep neural networks trained to handle a wide range of audio conditions. The system accurately transcribes clear studio recordings, noisy meeting rooms, phone calls, and multi-speaker conversations alike. It includes speaker diarization to identify and label different voices in a recording, making it easy to see who said what in interviews and group discussions.

This tool serves journalists transcribing interviews, podcasters generating show notes and blog content, students converting lecture recordings into study materials, project managers documenting meeting decisions, and researchers processing qualitative data. With support for 20+ languages and accents, it handles multilingual audio and produces formatted transcripts ready for publishing, archiving, or further analysis.

How It Works

Turn any audio recording into accurate, formatted text in three simple steps — powered by state-of-the-art AI speech recognition technology.

Used by journalists, podcasters, students, and professionals who need fast, accurate audio transcription.

Try It Free

Upload or Record Audio

Upload an audio file or record directly in your browser. We support MP3, WAV, OGG, M4A, FLAC and WebM formats up to 10 minutes long.

Select Your Language

Choose from 20+ supported languages or let AI auto-detect the spoken language. Our models handle accents, dialects, and multilingual audio with high accuracy.

AI Transcription Engine

Our neural speech recognition engine processes your audio, converting spoken words to text with up to 99% accuracy. It handles background noise, multiple speakers, and varied audio quality.

Smart Punctuation & Formatting

AI automatically adds punctuation, capitalization, and paragraph breaks to your transcript. The output reads naturally — no manual cleanup needed for meetings, interviews, or lectures.

Copy or Download Transcript

Copy your transcript to clipboard or download it as a text file. Use it for blog posts, meeting notes, subtitles, documentation, or any text-based workflow.

Speaker Detection

Our AI can distinguish between different speakers in a conversation and label them in the transcript. Perfect for meetings, interviews, and multi-person recordings where knowing who said what matters.

Got questions?

Everything you need to know about our AI audio-to-text converter and how to start transcribing your recordings.

What is an audio to text converter?

An audio to text converter (also known as a speech-to-text tool or transcription service) uses artificial intelligence and automatic speech recognition (ASR) technology to convert spoken words in audio files into written text. Our AI transcription engine analyzes the audio waveform, identifies speech patterns, and produces an accurate text transcript with proper punctuation, capitalization, and paragraph formatting.

Is the audio to text converter really free?

Yes! You can start using the audio to text converter completely free with a TaskAGI account. The free plan includes 2 minutes of audio transcription per month. For longer recordings, professional transcription needs, or batch processing, our paid plans offer up to 3,000 minutes per month with advanced features like speaker detection, timestamps, and priority processing.

How accurate is the transcription?

Our AI transcription engine achieves up to 99% accuracy on clear audio recordings. Accuracy depends on factors like audio quality, background noise, speaker clarity, and accent. For professional recordings (podcasts, interviews in quiet rooms), expect near-perfect results. For noisier environments (meetings with background chatter), accuracy typically ranges from 90-95%, which is still significantly faster than manual transcription.

What audio formats are supported?

We support all major audio formats including MP3, WAV, OGG, M4A, FLAC, and WebM. You can also extract and transcribe audio from video files. The free plan supports files up to 10 minutes long. Paid plans allow longer recordings and batch uploads for transcribing multiple files at once.

Can it handle multiple speakers?

Yes! Our AI includes speaker diarization technology that can identify and label different speakers in a conversation. This is especially useful for meeting transcripts, interviews, and podcasts where you need to know who said what. The AI automatically detects speaker changes and labels each segment accordingly.

Is my audio data kept private?

Absolutely. Your audio files are processed securely and are never shared with third parties. Files are encrypted during upload and processing, and are automatically deleted from our servers after transcription is complete. We take data privacy seriously — your recordings and transcripts remain completely confidential and under your control.

Need help getting started?

Contact Support

Use Cases

Our audio to text converter is used by professionals, students, and creators who need fast, accurate transcription for any type of audio.

Meeting Transcription

Transcribe Zoom, Teams, and in-person meetings into searchable notes and action items

Podcast Transcription

Convert podcast episodes to text for show notes, blog posts, and SEO optimization

Interview Transcription

Transcribe journalist interviews, research interviews, and depositions with speaker labels

Lecture Notes

Record and transcribe university lectures, webinars, and training sessions for study materials

Content Repurposing

Turn video and audio content into blog posts, social media captions, and written articles

Simple, transparent pricing

Choose a plan that fits your transcription needs — start free and upgrade as your volume grows.

Free

Get started with audio transcription at no cost.

$0/mo

Start Free

2 minutes transcription

5 languages

Basic punctuation

Community support

Personal

For professionals who need regular transcription.

$19/mo

Get Started

500 minutes per month

All 20+ languages

Speaker detection

Priority processing

Automator

Best for teams and high-volume transcription.

$49/mo

Upgrade to Automator

1,200 minutes per month

API access

Batch processing

Team features

Orchestrator

Custom solutions for enterprise transcription.

$149/mo

Contact Sales

3,000 minutes per month

Dedicated support

Custom vocabulary

SLA guarantee

What our users say

Thousands of professionals use TaskAGI's audio to text converter for meetings, podcasts, interviews, and research.

I transcribe 3-4 interviews per week for my articles. This tool saved me hours of manual typing. The speaker detection is spot-on and the accuracy is better than any other free tool I've tried.

R

Rachel Torres

Freelance Journalist, 8 years experience

We use this for all our team meetings now. Upload the recording, get a transcript in minutes. The automatic punctuation means I barely need to edit anything. Total game changer for productivity.

D

David Park

Project Manager, SaaS Startup

As a grad student, I record all my lectures and transcribe them for study notes. This is so much faster than typing everything out. The punctuation is already there so the notes are actually readable.

A

Amira Hassan

Graduate Student, MIT