Blog
Practical articles on speech-to-text, transcription workflows and audio processing.
September 4, 2026
How chunking splits hour-long recordings for transcription APIs: silence detection, overlap, parallel processing and result merging. Why boundaries matter and how to spot errors.
August 28, 2026
Why combine multiple transcription models: the ensemble approach, ROVER algorithm, and how combining results reduces error rates.
August 21, 2026
How to prepare a recording for transcription: environment, microphone, format, test recording, and audio cleanup for better results.
August 14, 2026
How to turn a transcript into subtitles: BBC and Netflix readability standards, SRT/VTT synchronisation, editing, and language-specific considerations.
August 7, 2026
Automatic transcription in research: verbatim vs. clean transcription, ethics of cloud processing, citing transcripts in academic work.
July 31, 2026
Which audio formats and settings improve transcription accuracy: WAV, MP3, bitrate, sample rate, mono vs. stereo.
July 24, 2026
How algorithms predict punctuation in transcription, where they fail, and how to efficiently correct the result — a practical guide.
July 17, 2026
What WER measures, why 95% accuracy claims don't apply to your recording, and how to evaluate transcription quality in practice.
July 10, 2026
How to improve transcription of names, acronyms and domain terms: a practical guide to building and maintaining a custom terminology list.
July 3, 2026
How transcription differs for lectures, interviews, meetings, and podcasts: demands, typical problems, and recommendations for each recording type.
March 30, 2026
How speaker diarization recognizes who is speaking: the technical principle, conditions for reliability, and how to work with results.
March 23, 2026
Filler words in transcription: how they arise, when to remove them and when to keep them. A journalist's, researcher's, and corporate perspective.
March 16, 2026
Why automatic speech recognition struggles with Czech where it excels at English: morphology, diacritics, word order and training data. What actually helps.
March 9, 2026
How speech-to-text works under the hood: from audio digitization and spectral analysis to neural networks and their limits for non-English languages.
Coming soon
Real-Time Transcription vs Batch Processing: When to Use WhichSoon
September 11, 2026
Real-time transcription or batch processing? Comparison across accuracy, latency, cost and implementation complexity. Practical guidance for choosing the right approach for your use case.
Legal Transcription: Requirements for Accuracy, Format, and ArchivingSoon
September 18, 2026
Legal transcription: specifics of verbatim recording, requirements for court transcript format and archiving. Where automation saves transcribers' time and where human review must follow.
Medical Transcription and Terminology: Why General Models Fall ShortSoon
September 25, 2026
Medical transcription: why Latin-derived terminology, abbreviations, and eponyms cause general models to fail and how a terminology list and ensemble approach improve results.
Data Privacy and Security When Transcribing Sensitive RecordingsSoon
October 2, 2026
GDPR and transcription of sensitive recordings: cloud API as data transfer outside the EU, a pre-deployment checklist, and when local processing offers better protection than any contractual guarantee.
Transcription Confidence Score: What That Number Actually Tells YouSoon
October 9, 2026
Confidence score in transcription: what the 0–1 number actually measures, why a high value does not guarantee a correct transcript, and how to use the score effectively for prioritizing edits.