Who is MP3toText.ai for?

MP3toText.ai is a B2B2C product built for content creators, podcasters, journalists, media teams.

How much does MP3toText.ai cost?

Paid plans start at $9, and a free tier is available.

Is MP3toText.ai still active?

Unverified. MP3toText.ai 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.

What are alternatives to MP3toText.ai?

Similar projects tracked by PulseGate include ConvertAudioToText, Transcribetext, and SpeechText.AI.

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MP3toText.ai

Name: MP3toText.ai
Price: 9 USD

mp3totext.aiSpeech to text

MP3toText.ai is an online tool that converts MP3 and other audio files into accurate text transcripts using AI. It supports speaker labels, summaries, and downloadable transcripts, making it ideal for podcasters, journalists, and content creators who need fast, reliable transcription for interviews, meetings, and media production.

FreemiumWebCloud-managed

Visit mp3totext.ai

1alternative

8features

2024since

Overview

8 features

In the Speech to text space, MP3toText.ai takes a focused approach. It focuses on transcribing audio recordings to text quickly and accurately without manual effort. MP3toText.ai is a B2B2C product aimed at content creators, podcasters, journalists, media teams. MP3toText.ai follows a freemium model, with paid plans starting at $9. MP3toText.ai is available on the web.

MP3toText.ai first shipped in 2024. Key capabilities include audio transcription, speaker labels, and transcript download.

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

Audio transcription
Speaker labels
Transcript download
Summarization
Subtitle generation
Multiple file formats
Searchable transcripts
Editable transcripts

Built with & integrations

Framework

Next.js

Hosting

Vercel

Runs on

BrowserCloud-managed

Detected from

Next.js: x-powered-by header · /_next/static/ in the HTML · __next_f in the HTML
Vercel: x-vercel-id header · x-vercel-cache header

Trust & compliance

Verified signals

HTTPSPrivacy Policy Terms of ServiceFree tier

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed2 Jul · 11:30 UTC
Show HN: MP3toText – Fast, high-accuracy AI audio transcription verified against its public source
Source: PulseGate · Open

Frequently asked questions about MP3toText.ai

What does MP3toText.ai do?: MP3toText.ai focuses on transcribing audio recordings to text quickly and accurately without manual effort. It is catalogued under Speech to text on PulseGate.
Who is MP3toText.ai for?: MP3toText.ai is a B2B2C product built for content creators, podcasters, journalists, media teams.
How much does MP3toText.ai cost?: Paid plans start at $9, and a free tier is available.
What platforms does MP3toText.ai run on?: MP3toText.ai runs on the web.
Is MP3toText.ai still active?: Unverified. MP3toText.ai 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.
What are alternatives to MP3toText.ai?: Similar projects tracked by PulseGate include ConvertAudioToText, Transcribetext, and SpeechText.AI.ConvertAudioToText Transcribetext SpeechText.AI
When did MP3toText.ai launch?: MP3toText.ai first shipped in 2024.

At a glance

Pricing: Freemium · from $9 · free tier
Platforms: Web
Languages: English
Built for: content creators, podcasters, journalists, media teams
Model: B2B2C
Solves: Transcribing audio recordings to text quickly and accurately without manual effort.

Developer

Mp3totext

Index record

Identity confidence: High · 95.6
Indexed: 2 Jul 2026
Lifecycle: Alive
Last seen: 2 Jul 2026

Identity audit (12)

Slug: show-hn-mp3totext-fast-high-accuracy-ai-audio-transcripti-mp3totext-ai
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 2 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, checked against the page's own declaration.
Canonical URL: https://mp3totext.ai/

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