Subanana

Thai 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. 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 transcribe Thai speech into detailed and readable text. 98% accuracy.

  • Google
  • Deloitte
  • dentsu
  • Manulife
  • NAVER
  • Philips
  • Amazon
  • Shopify
  • Figma
  • Coinbase
  • WPP
  • Semrush
  • Google
  • Deloitte
  • dentsu
  • Manulife
  • NAVER
  • Philips
  • Amazon
  • Shopify
  • Figma
  • Coinbase
  • WPP
  • Semrush

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.

Meetings & calls

Business teams

Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.

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.

  1. 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.
  2. 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.
  3. 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.
  4. 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

Thai Speech to Text Software powered by AI in 2026

Understanding Thai Speech to Text: A Comprehensive Guide for Content Creators

In an era where digital content is king, the ability to transcribe spoken words into written text has become an indispensable tool for content creators. Whether it's for creating accessible video content, generating subtitles, or transcribing interviews, speech-to-text technology offers a myriad of benefits. Among the various languages, Thai speech to text is gaining attention due to the rising demand for localized content in Thailand. This article delves into the intricacies of Thai speech-to-text technology, offering valuable insights for content creators looking to tap into this innovative tool.

What is Thai Speech to Text?

Thai speech-to-text technology is a sophisticated software solution that converts spoken Thai language into written text. It leverages advanced algorithms, machine learning, and natural language processing (NLP) to accurately transcribe audio inputs. This technology is particularly useful in creating subtitles for video content, transcribing meetings or interviews, and enhancing the accessibility of digital media for Thai-speaking audiences.

The Importance of Thai Speech to Text for Content Creators

1. Enhanced Accessibility: By converting spoken content into text, content creators can ensure their work is accessible to a wider audience, including those with hearing impairments. Subtitles and transcriptions make content more inclusive and user-friendly.

2. Improved SEO and Discoverability: Text-based content is easier for search engines to crawl and index, improving the searchability of videos and audio content. By providing Thai transcriptions, creators can tap into local search trends, enhancing their reach within the Thai-speaking demographic.

3. Time and Cost Efficiency: Automation of transcription processes significantly reduces the time and costs associated with manual transcription. This efficiency allows creators to focus more on content creation rather than administrative tasks.

4. Cultural Relevance: For content targeting Thai audiences, using native language transcriptions ensures cultural relevance and engagement. It shows respect for the audience’s language and culture, fostering a deeper connection with viewers.

Key Features to Look for in Thai Speech to Text Software

1. Accuracy and Reliability: The primary factor to consider is the software's accuracy in transcribing Thai speech. Look for solutions that boast high accuracy rates and can handle various dialects and accents prevalent in Thailand.

2. Real-Time Transcription: Real-time transcription capabilities allow for immediate text generation, which is beneficial for live broadcasts, webinars, and online events.

3. Integration Capabilities: Choose software that integrates seamlessly with your existing tools and platforms, whether it's video editing software, content management systems, or social media platforms.

4. Custom Vocabulary: A feature that allows the addition of custom vocabulary is essential for transcribing industry-specific terms, names, or slang accurately.

5. User-Friendly Interface: The software should be intuitive and easy to navigate, even for those who are not tech-savvy. This feature is crucial for ensuring a smooth user experience.

Challenges in Thai Speech to Text Technology

Despite its advantages, Thai speech-to-text technology faces several challenges:

- Complexity of the Thai Language: Thai is a tonal language with a unique script and grammatical structure, which can pose difficulties in achieving high transcription accuracy.

- Variety of Dialects: Thailand is home to numerous dialects, each with its own phonetic nuances, making it challenging for speech-to-text systems to accommodate all variations.

- Background Noise and Audio Quality: Poor audio quality and background noise can compromise transcription accuracy. It is essential to ensure high-quality audio inputs for optimal results.

Best Practices for Using Thai Speech to Text

1. Ensure Clear Audio Quality: To improve transcription accuracy, use high-quality microphones and minimize background noise during recording.

2. Review and Edit Transcriptions: Always review and edit the transcriptions for errors or inconsistencies to ensure the final output is accurate.

3. Leverage Custom Vocabulary Features: Take advantage of custom vocabulary features to enhance the transcription of specialized terms and names.

4. Stay Updated with Technology Advances: Speech-to-text technology is continually evolving. Keep abreast of the latest updates and advancements to maximize the software's potential.

Conclusion

Thai speech-to-text technology is a powerful ally for content creators aiming to broaden their reach and enhance the accessibility of their content. By understanding its features, benefits, and challenges, creators can effectively leverage this tool to produce high-quality, inclusive, and engaging content for Thai-speaking audiences. As technology continues to advance, the opportunities for innovation and creativity in the realm of digital content are boundless, making it an exciting time for content creators worldwide.

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 2026-02-12