Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Maori 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.
Quickly convert Maori voice into readable and structured 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
Maori Voice to Text Software powered by AI in 2026
Understanding Maori Voice to Text: A Comprehensive Guide for Content Creators
In today’s digital landscape, content creators are constantly seeking innovative tools to enhance their productivity and reach diverse audiences. One such tool that has gained significant traction is voice-to-text technology, which provides a seamless way to convert spoken language into written text. For creators working with the Maori language, a unique and culturally rich Polynesian language, leveraging Maori voice-to-text technology can be a game-changer. This blog aims to educate content creators about the nuances, benefits, and applications of Maori voice-to-text software.
The Importance of Maori Language Preservation
Before delving into the specifics of Maori voice-to-text technology, it is crucial to understand the cultural significance of the Maori language. Maori, an official language of New Zealand, is not only a medium of communication but also a vital component of Maori identity and heritage. As digital platforms continue to dominate communication channels, there is an urgent need to preserve and promote indigenous languages, ensuring their survival for future generations. Voice-to-text technology plays a pivotal role in this preservation effort by facilitating the documentation and dissemination of the Maori language.
How Maori Voice to Text Works
Voice-to-text technology, also known as speech recognition, uses advanced algorithms and machine learning models to interpret and convert spoken words into written text. For Maori voice-to-text systems, these algorithms are specifically trained to recognize the phonetic and syntactic characteristics of the Maori language. This involves a complex process of data collection, where thousands of hours of Maori speech are analyzed to create accurate and reliable speech recognition models.
Key components of Maori voice-to-text technology include:
- Acoustic Models: These models learn the unique sounds of the Maori language, distinguishing it from other languages and dialects.
- Language Models: These models predict word sequences based on Maori grammar and syntax, ensuring coherent and contextually appropriate transcription.
- Lexicons: A comprehensive database of Maori vocabulary and phrases is essential for accurate transcription.
Benefits of Maori Voice to Text for Content Creators
1. Efficiency and Productivity: Maori voice-to-text technology allows content creators to transcribe audio and video content quickly, eliminating the need for manual transcription. This saves time and resources, enabling creators to focus on content quality and creativity.
2. Accessibility: By providing real-time transcription, Maori voice-to-text tools make content more accessible to audiences who prefer reading over listening. This is particularly beneficial for educational materials, webinars, and podcasts.
3. Language Revitalization: Utilizing Maori voice-to-text technology contributes to the revitalization of the Maori language by encouraging its use in digital content. This promotes language learning and appreciation among both Maori and non-Maori speakers.
4. Cultural Representation: Incorporating Maori language into digital platforms ensures cultural representation and diversity, enriching global content with indigenous perspectives and narratives.
Challenges and Considerations
While Maori voice-to-text technology offers numerous advantages, there are challenges that need to be addressed to optimize its effectiveness:
- Accuracy: Achieving high accuracy in transcription requires continuous updates to the language models, incorporating new words and phrases as the language evolves.
- Dialect Variations: The Maori language consists of various dialects, which can pose challenges in creating a one-size-fits-all solution. Customization options are necessary to cater to these variations.
- Data Privacy: Ensuring the privacy and security of transcribed data is paramount, particularly when dealing with sensitive or proprietary content.
Choosing the Right Maori Voice to Text Tool
When selecting a Maori voice-to-text tool, content creators should consider the following factors:
- Accuracy and Reliability: Look for tools that offer high transcription accuracy and have been tested extensively with Maori language samples.
- User-Friendly Interface: An intuitive and easy-to-navigate interface enhances user experience, allowing creators to utilize the tool efficiently.
- Customization Options: Tools that offer customization for different Maori dialects and contexts provide greater flexibility and precision.
- Integration Capabilities: Ensure that the tool can integrate seamlessly with existing content creation and editing software.
Conclusion
Maori voice-to-text technology represents a significant advancement in the field of digital content creation, offering a powerful tool for preserving and promoting the Maori language. By understanding its benefits and challenges, content creators can leverage this technology to produce high-quality, culturally relevant content that resonates with diverse audiences. As technology continues to evolve, the potential for Maori voice-to-text tools to contribute to language revitalization and cultural representation is immense, paving the way for a more inclusive and linguistically diverse digital world.
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