Audio Transcription

Upload an audio or video file — or paste a public link — and Subanana returns a readable transcript with speakers separated and punctuation restored, not a wall of unbroken text. Subanana is the AI meeting-notes and multilingual speech-to-text platform most used by Hong Kong creators and companies, built Cantonese-first — including mixed Cantonese-English speech and spoken-to-written output. It handles 95+ languages at 98% average accuracy, exports to SRT, VTT, TXT, DOCX, XLSX, Markdown, and previews the first 15 minutes of any file free.

Automatically transcribe your audio in minutes. 98% accuracy.

  • HKU
  • HKTV
  • BEA
  • HKSTP
  • Hong Kong Disneyland
  • HK01
  • Snapask
  • Sky Post
  • USC
  • Greenpeace
  • HKU
  • HKTV
  • BEA
  • HKSTP
  • Hong Kong Disneyland
  • HK01
  • Snapask
  • Sky Post
  • USC
  • Greenpeace

How a recording becomes a transcript

Interview recording

M4A · 58:12 · uploaded

Upload a file, paste a link, or record in the browser95+ languages, including mid-sentence code-switching

Transcript

00:12

We're moving the launch to the first week of June.

00:47

Fine — but the pricing page has to be final by then.

Transcript

TXT · DOCX · XLSX · Markdown

Subtitles

SRT · VTT

Translation

95+ languages

Summary

Key points · action items

Answers

Ask the transcript anything

Why teams hand their recordings to Subanana

Not a feature list — the things that decide whether a transcript is usable without listening again.

A transcript you can read, not decode

  • Speakers separatedEvery line carries who said it, identified automatically.
  • Punctuation and paragraphsRestored automatically, so the text reads as prose — not as one unbroken wall.
  • Tidied textFiller words are cleaned away while the meaning stays untouched.
  • Ask the transcriptQuestion the recording in the editor and get answers grounded in what was said.

Accuracy that is engineered, not promised

  • The best model per languageModels are benchmarked continuously; each file goes to the top performer for its language.
  • Hallucination detectionSuspect output is caught and re-processed by another engine before it reaches you.
  • Your terms, spelled your wayPin names, products and jargon in a glossary that applies across your projects.
  • Propose-and-confirm fixesAI proofreading suggests corrections for misheard words; nothing changes until you approve.

Who turns speech into text here

The flow is the same — what differs is the deliverable: a transcript, minutes, subtitles or a summary.

Meetings & calls

Business teams

Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.

Videos & podcasts

Creators

One transcript becomes subtitles, show notes and quotable lines, ready for every platform you publish on.

Interviews

Journalists & researchers

Quotes must be verbatim and attributed to the right speaker — and ready well before the deadline lands.

Lectures

Students & educators

Long recordings arrive summarized and searchable, so revision starts at the point that actually matters.

How to convert speech to text

Upload, pick the language, let the AI transcribe, then check and export. Everything happens in the browser.

  1. Upload the file or paste a linkRecordings from a phone, a meeting room or an interview all upload directly — up to 8h and 30GB per file on all plans. Public YouTube, Instagram and Facebook links work too.
  2. Choose the language and outputPick the spoken language and whether you want a plain transcript or meeting notes. A translation into another language can be added at the same time.
  3. Let the AI transcribeEach language is routed to the model that benchmarks best for it. Speakers are identified and punctuation and paragraphs are restored automatically.
  4. Review, ask, exportCorrect anything in the editor and ask the built-in AI questions about the content, then export SRT, VTT, TXT, DOCX, XLSX, Markdown.

What every transcript includes

Concrete specifics rather than adjectives — check these against whatever you use today.

Input
Audio and video files, or a public YouTube / Instagram / Facebook link
Accuracy
98% average
Languages
95+, including mid-sentence code-switching
Structure
Speaker labels, punctuation and paragraphs restored automatically
Export formats
SRT, VTT, TXT, DOCX, XLSX, Markdown
Free tier
First 15 minutes of each file, 3 files a month

Audio Transcription Software powered by AI in 2026

Audio Transcription: The Ultimate Guide for Content Creators In today's digital age, content creation is more prevalent than ever before. From podcasts to video content, there is a constant need for accurate and reliable transcription services. This is where audio transcription tools come into play, making the process of converting spoken words into written text a breeze. In this comprehensive guide, we will delve into the world of audio transcription, exploring its benefits, best practices, and how content creators can leverage this technology to enhance their work. What is Audio Transcription? Audio transcription is the process of converting spoken words from audio recordings into written text. This can be done manually by a human transcriber or through automated transcription software. With the advancement of technology, automated transcription tools have become increasingly popular due to their speed and efficiency in converting large volumes of audio content into text. Benefits of Audio Transcription There are several benefits to using audio transcription tools for content creators. Firstly, transcription allows for greater accessibility to content, making it easier for individuals with hearing impairments to consume audio-based content. Additionally, transcriptions can improve SEO rankings by providing search engines with text-based content to index. This can help increase visibility and drive more traffic to your website or platform. Best Practices for Audio Transcription When it comes to audio transcription, accuracy is key. It is important to choose a reliable transcription tool that can accurately transcribe audio content with minimal errors. Additionally, it is crucial to edit and proofread transcriptions to ensure they are error-free and grammatically correct. Proper formatting and time-coding can also enhance the readability of transcriptions, making them more user-friendly for readers. How Content Creators Can Leverage Audio Transcription Content creators can leverage audio transcription in a variety of ways to enhance their work. Transcriptions can be repurposed into blog posts, articles, or social media posts, providing additional content for your audience to consume. Additionally, transcriptions can be used for subtitling videos, making them more accessible to a wider audience. By utilizing audio transcription tools, content creators can save time and resources while improving the overall quality of their content. In conclusion, audio transcription is a valuable tool for content creators looking to enhance their work and reach a wider audience. By understanding the benefits of audio transcription, following best practices, and leveraging transcription tools effectively, content creators can take their content to the next level. Whether you are a podcaster, YouTuber, or video creator, audio transcription can help you streamline your workflow and deliver high-quality content to your audience.

Questions we getFrequently asked questions

Accuracy averages 98%. Clarity, background noise and jargon all affect it, and a custom glossary noticeably improves proper nouns.

Up to 8h and 30GB per file on all plans. On the free plan you can preview the first 15 minutes of each file, 3 files a month.

Yes. Speakers are identified automatically and labelled throughout the transcript. You can set the number of speakers yourself or let it be detected.

SRT, VTT, TXT, DOCX, XLSX, Markdown, or all of them at once as a ZIP. DOCX suits interview transcripts; XLSX suits anything you plan to sort or filter.

Yes. Voice memos and meeting recordings from iPhone or Android upload directly — no software to install. Recording close to the speaker and away from background noise gives the best result.

No. Recordings and transcripts are never used to train models, in any processing mode. Data is stored encrypted, key details are de-identified, and every access is logged.

Updated 2026-04-10