Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Medical Transcription Software
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 medical audio into text with high precision and speed. 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
Medical Transcription Software powered by AI in 2026
Understanding Medical Transcription Software: A Comprehensive Guide
In today's fast-paced medical environment, accurate and efficient documentation is crucial for healthcare providers. Medical transcription software has emerged as an indispensable tool in this regard, offering a technological solution to transcribe medical reports, patient notes, and other healthcare-related documents swiftly and accurately. This blog aims to provide a thorough understanding of medical transcription software, its benefits, features, and considerations for choosing the right solution.
What is Medical Transcription Software?
Medical transcription software is a specialized tool designed to convert voice-recorded medical reports dictated by healthcare professionals into text format. This software leverages advanced technologies like speech recognition and natural language processing (NLP) to ensure that the transcriptions are both accurate and contextually relevant. By automating the transcription process, it reduces the manual effort involved, thereby increasing efficiency and minimizing the potential for human error.
Benefits of Using Medical Transcription Software
1. Increased Efficiency: Traditional manual transcription is time-consuming. Medical transcription software can significantly reduce the time needed to transcribe reports, allowing healthcare professionals to focus more on patient care.
2. Enhanced Accuracy: With the integration of sophisticated algorithms, these tools can deliver high accuracy rates, ensuring that medical records are precise and reliable.
3. Cost-Effectiveness: By reducing the need for extensive clerical staff, medical transcription software can help healthcare institutions save on labor costs.
4. Improved Workflow: The seamless integration of transcription software into existing healthcare systems can streamline workflows, facilitating better data management and accessibility.
5. Secure and Compliant: Many transcription software solutions are designed to comply with healthcare regulations such as HIPAA, ensuring that patient information remains confidential and secure.
Key Features to Look for in Medical Transcription Software
When choosing medical transcription software, it is essential to consider the following features:
1. Speech Recognition: Advanced speech recognition capabilities that can accurately capture different accents, dialects, and medical terminologies.
2. Customization and Scalability: The ability to customize the software according to specific needs and scale as the organization grows.
3. Integration Capabilities: Seamless integration with existing Electronic Health Record (EHR) systems to ensure smooth data transfer and accessibility.
4. User-Friendly Interface: An intuitive and easy-to-use interface that reduces the learning curve for healthcare professionals.
5. Security Features: Robust security measures to protect sensitive patient data, including encryption and secure access controls.
Choosing the Right Medical Transcription Software
Selecting the appropriate medical transcription software requires careful consideration of several factors:
1. Assess Your Needs: Understand the specific requirements of your healthcare facility, including the volume of transcription work and the complexity of medical language used.
2. Evaluate Features and Compatibility: Ensure that the software has the necessary features and is compatible with existing systems and workflows.
3. Consider Vendor Reputation: Choose a reputable vendor with a proven track record in the healthcare industry, as well as excellent customer support.
4. Budget Considerations: While cost should not be the sole determining factor, it is crucial to find a solution that offers the best value for money without compromising on quality.
5. Trial and Feedback: Opt for a trial period to test the software's capabilities and gather feedback from end-users to ensure it meets expectations.
Future Trends in Medical Transcription Software
As technology continues to evolve, medical transcription software is poised to become even more sophisticated. Emerging trends include:
- AI and Machine Learning Enhancements: These advancements will lead to even greater accuracy and efficiency in speech recognition and contextual understanding.
- Cloud-Based Solutions: Cloud technology will offer more flexibility and accessibility, allowing healthcare providers to access transcriptions from anywhere, at any time.
- Multilingual Support: As healthcare becomes increasingly globalized, transcription software will likely expand its language capabilities to cater to a diverse patient base.
Conclusion
Medical transcription software is revolutionizing the way healthcare providers document and manage patient information. By understanding its features, benefits, and considerations, healthcare institutions can make informed decisions to enhance their operational efficiency and ensure high-quality patient care. As you explore the options available, remember that the right software can be a powerful ally in navigating the complex landscape of medical documentation.
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 2026-02-12