Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Chinese 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.
Transform Chinese audio into organized and accurate text for all your needs. 98% accuracy.
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.
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.
- 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.
- 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.
- 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.
- 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
Chinese Transcription Software powered by AI in 2026
Understanding Chinese Transcription: A Comprehensive Guide for Content Creators
In the digital age, the demand for transcription services has surged, with Chinese transcription emerging as a significant area of interest for content creators worldwide. Whether you are a filmmaker, podcaster, or academic researcher, understanding the nuances of Chinese transcription can enhance the accessibility and reach of your content. This comprehensive guide aims to provide a detailed overview of Chinese transcription, its importance, challenges, and best practices.
The Importance of Chinese Transcription
Chinese transcription involves converting spoken Mandarin, Cantonese, or other Chinese dialects into written text. As China continues to play a pivotal role in the global economy, the ability to transcribe Chinese content accurately is becoming increasingly crucial. Here are some key reasons why Chinese transcription is essential:
1. Wider Audience Reach: With over a billion Chinese speakers globally, transcribing your content into Chinese opens up vast new audiences, enhancing your reach and engagement.
2. Improved Accessibility: Transcripts make content accessible to those who are deaf or hard of hearing, as well as non-native speakers who might find written Chinese easier to understand than spoken dialects.
3. Enhanced SEO: Adding Chinese transcripts to your content can improve its search engine ranking, making it more discoverable to Chinese-speaking users.
4. Cultural Relevance: Transcription allows content creators to maintain the cultural nuances of the original material, ensuring that the message is conveyed accurately and respectfully.
Challenges in Chinese Transcription
While the benefits are clear, Chinese transcription is not without its challenges. Understanding these can help content creators navigate potential pitfalls:
1. Complexity of Chinese Characters: Chinese is a logographic language, meaning that its characters represent words or morphemes. This complexity can pose challenges in accurately capturing spoken language in written form.
2. Dialects and Variations: With numerous dialects across different regions, transcription requires a deep understanding of the specific dialect being transcribed to ensure accuracy.
3. Homophones: Chinese has many homophones, words that sound the same but have different meanings and characters. Context is crucial in transcription to avoid errors.
4. Contextual Nuances: Chinese language is rich in idiomatic expressions and cultural references that may not have direct translations. A skilled transcriber must capture these subtleties to maintain the integrity of the content.
Best Practices for Effective Chinese Transcription
To tackle these challenges and ensure high-quality transcription, content creators should consider the following best practices:
1. Utilize AI-Powered Tools: While human expertise is invaluable, AI-powered transcription tools can offer speed and cost-efficiency. Look for software that supports multiple Chinese dialects and offers high accuracy rates.
2. Hire Professional Transcribers: For content that demands precision, such as legal or medical documents, hiring professional transcribers with expertise in Chinese language is advisable.
3. Quality Assurance: Implement a robust quality assurance process. This includes having a native speaker review the transcript for accuracy and cultural sensitivity.
4. Cultural Competency: Ensure that transcribers or AI tools used have a deep understanding of Chinese culture and idiomatic expressions to maintain the content's original meaning.
5. Continuous Learning and Adaptation: The Chinese language is dynamic, and staying updated on linguistic trends and changes can enhance the transcription quality.
Conclusion
Chinese transcription is an invaluable tool for content creators aiming to expand their reach and ensure accessibility. By understanding its importance, recognizing the challenges, and adopting best practices, you can effectively incorporate Chinese transcription into your content strategy. As the digital landscape continues to evolve, mastering the art of transcription will not only enhance your content's accessibility but also its cultural resonance and global impact.
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.
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