Speech recognition
We implement speech recognition (speech-to-text): voice becomes text — for voice input, call/meeting transcription, subtitles, voice commands. Modern models do this fast and in many languages. Honestly upfront: recognition is NOT one hundred percent accurate — quality strongly depends on audio cleanliness, accent, diction, background noise and specific terminology; for critical texts (legal/medical/agreements) the transcript must be reviewed by a human; and support/accuracy differs across languages.
Speech recognition — overview
Speech recognition is integrating speech-to-text technology into your processes: voice input on the site/in the app, automatic transcription of calls and meetings, video subtitles, voice commands, the basis for a voice bot (877). We pick a suitable engine (cloud or local) for language, accuracy, privacy and budget. Honestly about accuracy, this is key: recognition is NOT perfect and depends on conditions. The result is affected by: audio quality and cleanliness, background noise, several speakers at once, accents and diction, speech rate, specific vocabulary and terms, rare languages. In good conditions accuracy is high, in poor ones it drops noticeably. Promising '100% accurate transcription always' is dishonest — we honestly estimate the expected accuracy for your conditions and, where needed, add term dictionaries and post-processing. Honestly about critical texts: for legal, medical, financial records and important agreements, automatic transcription must be reviewed by a human — the cost of an error in a word can be high. Honestly about languages: accuracy and support differ between languages and dialects; for the needed language we verify real quality rather than promise 'all languages equally perfect'. Honestly about privacy: voice is personal data; recording/processing require consent, for sensitive cases we discuss local solutions. Honestly about cost: cloud recognition is paid by audio volume/minutes. Honestly about access: audio sources and a place to integrate are needed. An important boundary: this is speech recognition; voice bot (dialog) — 877; text processing afterward — separate AI services. Picture this: instead of 'transcribing calls and meetings by hand' — automatic text left to review for the important. The base price starts from 45,000 ₽ (depends on volume and languages).
Problems we solve
- Calls/meetings are transcribed by hand — slow and expensive.
- No voice input/commands where it would be more convenient.
- Video without subtitles — audience and accessibility are lost.
- A lot of audio needs turning into text fast.
What's included in the Speech recognition service
- Speech-to-text integration (cloud/local engine)
- Voice input, transcription, subtitles, commands
- Term dictionaries and post-processing for accuracy
- An honest estimate of expected accuracy for your conditions
- Indicating boundaries (depends on noise/accent; verify the critical)
- Consent and privacy for voice data
- Quality verification in the needed languages
- Handover and review with you
What you get
- Voice becomes text in your processes
- Automatic transcription/subtitles/commands
- A realistic accuracy estimate (not '100% always')
- Privacy and consent accounted for
How the work goes: steps
- We define scenarios, languages, audio conditions; collect access
- We integrate the engine, add dictionaries and post-processing
- We verify accuracy, honestly set boundaries for the critical with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will the transcription be one hundred percent accurate?
No, and that is honest: accuracy depends on conditions — audio cleanliness, noise, accents, diction, number of speakers and specific vocabulary. In good conditions it is high, in poor ones it drops noticeably. We estimate expected accuracy for your conditions and improve it with dictionaries and post-processing, but '100% always' cannot be promised — it is a property of the technology.
Can auto-transcription of important records be fully trusted?
For critical texts — no, human review is needed. In legal, medical, financial records and important agreements the cost of a one-word error is high. Auto-transcription greatly speeds up a draft, but a human confirms the final on the important. We honestly build in this step rather than pass off auto-text as a legally accurate record.
Are all languages recognized equally well?
No, honestly: accuracy and support differ between languages and dialects. For some languages quality is very high, for rare ones lower. We verify real quality in your needed language and honestly report what to expect rather than promise 'all languages perfectly'. We pick a suitable engine and settings for the language.
About the provider
The «Speech recognition» service is provided by PDV Expert — a team specialising in «Site quality». We work under contract and deliver a written report with recommendations.