👤 3,309 total uses◯ Free: 5 uses/day • Resets in 6h 33m

ऑडियो ट्रांसक्राइबर

ऑडियो को सटीक, पठनीय पाठ में बदलें। MP3, WAV, M4A, WebM, OGG, FLAC या MP4 अपलोड करें (25 MB तक) — OpenAI Whisper द्वारा संचालित। 50+ भाषाओं में स्वचालित भाषा पहचान; बैठकों, साक्षात्कारों, पॉडकास्ट, व्याख्यानों और आवाज़ के नोट्स का समर्थन करता है।

और जानें

Audio Transcriber turns spoken-word recordings into clean, readable text using OpenAI Whisper. Upload a meeting, interview, podcast, lecture, or voice memo in MP3, WAV, M4A, WebM, OGG, FLAC, or MP4 format and get an accurate transcript you can copy or download. Language is detected automatically across dozens of languages, making it ideal for journalists, students, podcasters, and anyone who needs a fast written record of audio.

अपनी ऑडियो फ़ाइल यहाँ छोड़ें
या ब्राउज़ करने के लिए क्लिक करें — MP3, WAV, M4A, WebM, OGG, FLAC, MP4, अधिकतम 25 MB
Recommended for long inputs (>60s). You'll get a link as soon as it's ready.
फ्रीलांसर

30-सेकंड वॉइस मेमो

तेज़ वॉइस-नोट → व्यक्तिगत कैप्चर के लिए खोज योग्य टेक्स्ट

इनपुट और आउटपुट का पूर्वावलोकन देखें

इनपुट

file
voice-memo-2026-05-14.m4a (28s)
language
en
speaker_labels
no
timestamps
no

आउटपुट (अंश)

Okay so tomorrow's client call — I need to pull the Q2 report, the new pricing tier mock from Figma, and check whether the Stripe webhook actually fired for the test charge. Also, do not forget to send Maria the SOC2 checklist before 9 a.m. — she said she's blocked on the vendor questionnaire.
मार्केटर

टाइमस्टैम्प के साथ पॉडकास्ट क्लिप

पॉडकास्ट स्निपेट → न्यूज़लेटर या ब्लॉग के लिए उद्धरण योग्य ट्रांसक्रिप्ट

इनपुट और आउटपुट का पूर्वावलोकन देखें

इनपुट

file
lex-friedman-altman-clip.mp3 (4m 12s)
language
en
speaker_labels
yes
timestamps
yes

आउटपुट (अंश)

[00:00] HOST: …so when you say 'AGI', what definition are you working with this year?
[00:09] GUEST: A system that can do most knowledge work as well as a competent professional, end-to-end, including the parts that need taste and judgment.
[00:24] HOST: That's a really tight definition compared to two years ago.
[00:30] GUEST: Right. Two years ago I would have said something more about generality. Now I think the marketable, useful test is economic — can you hand it the job?
[00:50] HOST: And how close are we?
छोटे व्यवसाय

टीम मीटिंग → एक्शन आइटम्स

असिंक्रोनस स्टैंडअप → पूरी टीम के लिए असाइन करने योग्य एक्शन सूची

इनपुट और आउटपुट का पूर्वावलोकन देखें

इनपुट

file
weekly-standup-2026-05-19.mp3 (18m)
language
en
speaker_labels
yes
timestamps
no
post_process
extract_action_items

आउटपुट (अंश)

Summary: Q3 roadmap finalised; analytics rebuild moved to August; hiring frozen until Series A close.

Action items:
- Sara: Send revised Q3 roadmap to investors by Wed.
- Tomas: Spike new analytics warehouse choice (Snowflake vs ClickHouse) — write-up by 26 May.
- Priya: Draft hiring-pause comms for #general by EOD Monday.
- Marcus: Confirm Stripe portal launch dates with billing eng.
- Open question: Do we kill the v1 referral flow before or after the pricing relaunch?

Your ऑडियो ट्रांसक्राइबर results will appear here

You'll get plain-text transcript or an inline audio player (depends on the tool).

कैसे उपयोग करें ऑडियो ट्रांसक्राइबर

  1. Click upload and select your audio file (MP3, WAV, M4A, WebM, OGG, FLAC, or MP4, up to 25 MB).
  2. Start the transcription and wait a few seconds while Whisper processes the audio.
  3. Review the returned transcript on screen.
  4. Copy the text or download it for use in your notes, captions, or documents.

उपयोग के मामले

1

Transcribe a recorded interview into quotable text for an article

2

Turn a lecture or webinar recording into study notes

3

Get a written record of a voice memo you dictated on your phone

4

Caption a podcast episode by transcribing the raw audio

5

Create a searchable text record of a customer call

सर्वश्रेष्ठ परिणामों के लिए टिप्स

  • Record in a quiet space and keep the microphone close to the speaker for the cleanest transcript.
  • If a recording is longer than 25 MB, split it into shorter segments and transcribe each one.
  • Convert lossless formats to MP3 to fit more minutes under the size limit without hurting accuracy much.
  • Proofread names, jargon, and numbers, since these are the words most likely to need a small correction.

अक्सर पूछे जाने वाले प्रश्न

What does Audio Transcriber do?

It converts a spoken-audio file into written text. You upload a recording and it returns a transcript that keeps the original language, which you can then copy or download.

Which audio formats and file size can I upload?

It accepts MP3, WAV, M4A, WebM, OGG, FLAC, and MP4 files up to 25 MB. For longer recordings, trim or split the file so each part stays under the limit.

Do I need to choose the language first?

No. Whisper detects the spoken language automatically across dozens of languages, so you can upload without setting anything. The transcript comes back in the same language that was spoken.

How accurate is the transcription?

Accuracy is high for clear speech with little background noise. Heavy accents, crosstalk, music, or poor recording quality can introduce errors, so a quick proofread is worth it for important documents.

Can I use the transcripts commercially?

Yes. You own the transcript output and can use it in articles, captions, notes, or client work. Free covers 5 transcriptions per day with no signup; Pro is $19/month for higher volume.

What happens to my uploaded audio?

Your file is processed only to produce the transcript and is then discarded. We do not keep your recordings or use them to train models.

Does it add timestamps or speaker labels?

The output is a continuous text transcript focused on the spoken words. It does not split text by speaker; for clean results, upload audio with one clear primary speaker where possible.

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आपकी गोपनीयता सुरक्षित है

हम आपके टेक्स्ट को संग्रहीत नहीं करते हैं। प्रसंस्करण वास्तविक समय में होता है और परिणाम उत्पन्न करने के तुरंत बाद आपका इनपुट हटा दिया जाता है।

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Ready-to-use prompts — click "Use This" to auto-fill the tool

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Provide context about your audience, tone, and any specific requirements.

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संबंधित वर्कफ़्लो

Podcast → Tweet ThreadUpload a podcast audio file → transcribe → ship a 7-tweet thread + hashtag pack.वर्कफ़्लो चलाएँ →

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