Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Vietnamese 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.
Transform Vietnamese speech into professional and accurate text effortlessly. 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
Vietnamese Speech to Text Software powered by AI in 2026
In the digital age, where content creation and consumption are at an all-time high, the ability to efficiently convert spoken language into written text is invaluable. For content creators, especially those dealing with multilingual content, the need for reliable speech-to-text solutions is paramount. Among the various languages, Vietnamese poses unique challenges and opportunities. This blog aims to provide an insightful exploration into the realm of Vietnamese speech-to-text technology, an essential tool for content creators seeking to enhance their productivity and reach.
Understanding Vietnamese Speech-to-Text Technology
Speech-to-text technology, also known as automatic speech recognition (ASR), refers to the process of converting spoken language into written text using sophisticated algorithms and machine learning models. When it comes to Vietnamese, a tonal language with complex phonetics, the development of accurate speech-to-text solutions requires addressing specific linguistic nuances.
Key Features of Vietnamese Speech-to-Text Solutions
1. Tonal Recognition: Vietnamese is a tonal language with six distinct tones, each capable of altering the meaning of a word. Effective speech-to-text software must accurately discern these tones to ensure the text reflects the intended meaning.
2. Dialectal Variability: Vietnam is home to several regional dialects, each with its own phonetic quirks. Advanced ASR tools incorporate extensive linguistic databases to accommodate these variations, ensuring wide applicability across different Vietnamese-speaking communities.
3. Language Model Training: High-quality Vietnamese speech-to-text software is trained using vast datasets of spoken Vietnamese. This comprehensive training enables the software to recognize a wide range of vocabulary and speech patterns, enhancing overall accuracy.
Benefits of Using Vietnamese Speech-to-Text for Content Creators
1. Increased Efficiency: Automating the transcription process allows content creators to save time and focus on other creative aspects of their work. This efficiency is particularly beneficial for video content creation, podcasting, and live broadcasting.
2. Accessibility and Reach: By providing Vietnamese transcriptions of audio content, creators can ensure their material is accessible to a broader audience, including individuals with hearing impairments and those who prefer reading over listening.
3. Enhanced SEO Performance: Textual content derived from speech-to-text solutions can be indexed by search engines, improving the discoverability of the content. This is crucial for content creators aiming to enhance their online presence and engage with a larger audience.
Challenges and Considerations
1. Accurate Tone and Context Recognition: While modern ASR technologies have made significant strides, achieving near-human accuracy in tonal languages like Vietnamese remains a challenge. Continuous advancements in machine learning and AI are essential to overcome these hurdles.
2. Data Privacy: Content creators must ensure that their chosen speech-to-text solution adheres to stringent data privacy and security standards, safeguarding sensitive information throughout the transcription process.
3. Cost and Accessibility: High-quality speech-to-text solutions can be costly. Content creators should weigh the benefits against the investment, considering factors such as the frequency of use and the potential return on investment.
Choosing the Right Vietnamese Speech-to-Text Software
For content creators embarking on the journey of integrating Vietnamese speech-to-text technology into their workflow, selecting the right tool is crucial. Here are some factors to consider:
- Accuracy: Evaluate the software's ability to accurately transcribe Vietnamese speech, especially in terms of tone recognition and dialect compatibility.
- User-Friendliness: A straightforward user interface and seamless integration with existing tools can significantly enhance the user experience.
- Support and Updates: Opt for solutions that offer robust customer support and regular updates to keep pace with technological advancements and evolving user needs.
Conclusion
In the dynamic world of content creation, Vietnamese speech-to-text technology stands as a transformative tool, offering enhanced efficiency, accessibility, and SEO benefits. By understanding the intricacies of this technology and choosing the right solution, content creators can unlock new possibilities and expand their reach in the Vietnamese-speaking digital landscape. As the technology continues to evolve, the potential for innovation and growth in this space is boundless.
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