Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Chinese Speech to text
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.
Seamlessly transcribe Chinese speech into clear and readable text. 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 Speech to Text Software powered by AI in 2026
Understanding Chinese Speech to Text: A Comprehensive Guide for Content Creators
In the rapidly evolving digital age, the demand for efficient transcription and subtitling solutions is ever-increasing. Among the myriad of technologies available, "Chinese Speech to Text" stands out as a crucial tool for content creators working with Chinese audio or video content. This comprehensive guide aims to educate content creators about the intricacies of Chinese Speech to Text technology, offering insights into its functionality, benefits, and application.
The Basics of Chinese Speech to Text Technology
Chinese Speech to Text technology refers to the process of converting spoken Chinese language into written text. This technology leverages advanced algorithms and machine learning models to accurately transcribe spoken words into a text format. It is particularly useful for content creators who need to transcribe interviews, podcasts, webinars, or videos that involve Chinese dialogue.
How Does Chinese Speech to Text Work?
1. Audio Input: The process begins with the input of Chinese audio, which can be in the form of a live recording or pre-recorded file.
2. Speech Recognition: The technology utilizes Automatic Speech Recognition (ASR) systems that analyze the audio data. These systems are trained on large datasets of Chinese language to recognize patterns and nuances unique to Mandarin, Cantonese, or other Chinese dialects.
3. Language Processing: Once the speech is recognized, the system employs Natural Language Processing (NLP) techniques to convert the spoken words into coherent and grammatically correct text.
4. Output Generation: The final step is the generation of accurate text output, which can be edited or formatted as needed.
Key Benefits for Content Creators
1. Efficiency and Speed: Chinese Speech to Text technology significantly reduces the time and effort required to manually transcribe audio content, allowing content creators to focus on more strategic tasks.
2. Enhanced Accessibility: By converting speech into text, content becomes more accessible to a broader audience, including those with hearing impairments or those who prefer reading over listening.
3. Multilingual Support: Advanced Chinese Speech to Text tools often support multiple dialects, enabling creators to transcribe content in different Chinese languages seamlessly.
4. Improved Accuracy: Modern AI-driven transcription tools boast high accuracy rates, minimizing errors and ensuring that the transcribed content closely mirrors the original speech.
Challenges and Considerations
While the benefits are substantial, there are several challenges and considerations content creators should be aware of:
1. Dialect Variability: The presence of numerous Chinese dialects can pose a challenge for speech recognition systems. It is essential to select a tool that supports the specific dialect used in the audio content.
2. Homophones and Tones: Chinese is a tonal language with many homophones. Ensuring that the technology accurately differentiates between words that sound similar is crucial for maintaining content integrity.
3. Background Noise: High levels of background noise can affect transcription accuracy. Using clear, high-quality audio recordings can help mitigate this issue.
4. Privacy and Security: When using cloud-based transcription services, content creators should ensure that the tools comply with data protection regulations to safeguard sensitive information.
Selecting the Right Chinese Speech to Text Tool
When choosing a Chinese Speech to Text solution, content creators should consider the following factors:
- Accuracy and Reliability: Evaluate the tool's accuracy ratings and user reviews to ensure reliability.
- Dialect Support: Ensure the tool supports the specific Chinese dialects needed for your content.
- Integration Capabilities: Opt for tools that easily integrate with your existing content creation and editing workflows.
- Customer Support: A responsive and knowledgeable customer support team can be invaluable for troubleshooting and optimizing tool usage.
Conclusion
Chinese Speech to Text technology is an invaluable asset for content creators dealing with Chinese language content. By understanding how this technology works, its benefits, and its challenges, creators can harness its full potential to enhance their content production processes. As the technology continues to evolve, staying informed about the latest advancements will ensure that content creators remain at the forefront of digital innovation.
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