Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
English 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.
Accurately transcribe English speech 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
English Speech to Text Software powered by AI in 2026
Understanding English Speech to Text: A Comprehensive Guide for Content Creators
In the digital age, the ability to convert spoken language into written text has become an invaluable tool for content creators. With the rise of audio and video content, the demand for efficient and accurate transcription services has surged. One of the most popular technologies to fulfill this need is English Speech to Text. This blog aims to provide content creators with an in-depth understanding of this technology, its applications, benefits, and considerations.
What is English Speech to Text?
English Speech to Text technology, often referred to as speech recognition, involves the process of converting spoken English into written text. This is achieved through sophisticated algorithms and machine learning models that can understand and transcribe human speech. The technology has evolved significantly over the years, providing more accurate and faster transcription services.
How Does English Speech to Text Work?
At the core of English Speech to Text technology is a blend of machine learning algorithms and linguistic models. Here’s a simplified breakdown of the process:
1. Audio Input: The system receives spoken language through a microphone or an audio file.
2. Pre-processing: The audio input is analyzed to remove background noise and enhance speech clarity.
3. Feature Extraction: The system identifies specific features of the audio, such as pitch and tone, to differentiate between words.
4. Decoding: Using language models, the system decodes the audio features into text, predicting the most likely word sequences.
5. Output: The final text output is produced, often with options for formatting and editing.
Applications of English Speech to Text
English Speech to Text technology has a wide range of applications across various industries:
- Content Creation: Podcasters, YouTubers, and video producers use speech-to-text to create transcripts, captions, and subtitles, enhancing accessibility and SEO.
- Education: Educators and students leverage transcription for lecture notes and study materials.
- Healthcare: Medical professionals use speech-to-text for documenting patient interactions and medical records.
- Customer Service: Businesses utilize this technology for transcribing customer calls and improving service quality.
Benefits of English Speech to Text for Content Creators
1. Enhanced Accessibility: Providing transcripts and captions makes content accessible to a wider audience, including those with hearing impairments.
2. Improved SEO: Search engines can index text content more effectively than audio or video, boosting visibility and search rankings.
3. Time Efficiency: Automated transcription saves time compared to manual transcription, allowing creators to focus on content development.
4. Content Repurposing: Transcripts enable content creators to repurpose audio and video content into blogs, articles, and social media posts.
Considerations When Choosing a Speech to Text Solution
When selecting a Speech to Text tool, content creators should consider the following factors:
- Accuracy: Look for solutions with high accuracy rates, especially those that offer customization for industry-specific terminology.
- Language Support: Ensure the tool supports the English dialects or accents relevant to your audience.
- Integration: Evaluate whether the tool can seamlessly integrate with your existing content creation platforms.
- Cost: Consider the pricing model and whether it aligns with your budget and usage needs.
- Security: Ensure that the solution complies with data privacy standards and secures your content.
Conclusion
English Speech to Text technology is a game-changer for content creators, offering numerous benefits that enhance content accessibility, reach, and efficiency. By understanding how this technology works and what to consider when choosing a solution, content creators can unlock its full potential and stay ahead in the competitive digital landscape. As the technology continues to evolve, it promises even greater innovations, making it an indispensable tool for the modern content creator.
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 2026-02-13