Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
AI Voice 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.
Automatically transcribe and your voice to text by AI in minutes. 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
AI Voice to Text Software powered by AI in 2026
AI Voice to Text: A Comprehensive Guide to Automated Transcription Software
In today's fast-paced digital world, content creators are constantly looking for ways to streamline their workflow and increase productivity. One tool that has gained popularity in recent years is AI voice to text transcription software. This innovative technology uses artificial intelligence to automatically transcribe spoken words into written text, saving time and effort for content creators.
In this comprehensive guide, we will explore the ins and outs of AI voice to text transcription software, including how it works, its benefits and limitations, and how content creators can make the most of this powerful tool.
How Does AI Voice to Text Transcription Software Work?
AI voice to text transcription software uses advanced algorithms to analyze audio recordings and convert them into written text. This process involves speech recognition technology, which identifies and interprets spoken words, and natural language processing, which helps the software understand the context and meaning of the audio.
One of the key advantages of AI voice to text transcription software is its ability to transcribe speech quickly and accurately. This can be especially useful for content creators who need to transcribe interviews, podcasts, or video recordings in a timely manner.
Benefits of AI Voice to Text Transcription Software
There are several benefits to using AI voice to text transcription software. One of the main advantages is the time-saving aspect. Content creators can transcribe spoken words into text much faster than if they were to do it manually, allowing them to focus on other tasks.
Another benefit is the accuracy of the transcriptions. AI voice to text transcription software can produce highly accurate transcriptions, reducing the risk of errors or misunderstandings in the final written text.
Additionally, AI voice to text transcription software is often more cost-effective than hiring a human transcriptionist. This can be especially beneficial for content creators who have limited budgets or need to transcribe a large volume of audio recordings.
Limitations of AI Voice to Text Transcription Software
While AI voice to text transcription software has many benefits, it also has some limitations. One of the main challenges is the software's inability to accurately transcribe accents or dialects that are different from the standard language model it is trained on.
Additionally, AI voice to text transcription software may struggle with background noise or overlapping speech, which can affect the accuracy of the transcriptions. Content creators may need to make manual corrections or adjustments to ensure the final text is error-free.
Tips for Using AI Voice to Text Transcription Software Effectively
To make the most of AI voice to text transcription software, content creators should keep a few key tips in mind. First, it's important to choose a reputable and reliable software provider that offers accurate transcriptions and good customer support.
Second, content creators should ensure that the audio recordings they are transcribing are of high quality, with minimal background noise or interference. This will help the software produce more accurate transcriptions.
Finally, content creators should review and edit the transcriptions generated by the software to correct any errors or inaccuracies. While AI voice to text transcription software is highly advanced, it is not infallible, and human oversight is still necessary to ensure the final text meets the desired standards.
Conclusion
AI voice to text transcription software is a powerful tool that can help content creators save time, increase productivity, and improve the accuracy of their transcriptions. By understanding how this technology works, its benefits and limitations, and how to use it effectively, content creators can harness the power of AI to enhance their workflow and create high-quality written content.
In conclusion, AI voice to text transcription software is a valuable asset for content creators looking to streamline their workflow and produce accurate transcriptions. By following the tips outlined in this guide and choosing the right software provider, content creators can take advantage of this innovative technology to improve their content creation process.
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