AI-powered speech recognition with OpenAI Whisper technology. Works offline with 99% accuracy. Free plan with 5,000 words per week.
Everything needed for professional voice transcription
OpenAI Whisper AI achieves 99% accuracy on clear audio. Trained on 680,000 hours of multilingual speech data for robust performance.
Local processing keeps data private. No internet required for transcription. Your voice never leaves your device.
NVIDIA CUDA support for instant transcription. Process audio 10x faster with dedicated GPU hardware acceleration.
Works with every Windows application. Automatic paste into Word, Google Docs, Scrivener, or any text field.
Supports 99+ languages out of the box. No additional language packs or downloads required.
5,000 words per week included. Upgrade to Pro for unlimited transcription at $10/month.
Speech to text software, also known as voice recognition or speech recognition software, converts spoken words into written text. Modern systems use artificial intelligence and deep learning models to achieve high accuracy across accents, languages, and audio conditions.
The technology has applications across industries: medical professionals dictate patient notes, lawyers transcribe depositions, writers draft manuscripts, and business users compose emails hands-free. As AI models improve, speech recognition accuracy has reached levels comparable to human transcription.
Speech recognition begins with audio capture through a microphone. The software converts analog sound waves into digital format, typically sampling at 16kHz or higher for voice applications. Pre-processing removes background noise and normalizes volume levels.
The system analyzes audio characteristics including pitch, tone, and phonemes (distinct units of sound). Modern neural networks process spectrograms—visual representations of sound frequencies over time—to identify patterns corresponding to words and phrases.
AI models predict likely word sequences based on context. Language models trained on billions of text samples understand grammar, common phrases, and word relationships, improving accuracy beyond phonetic matching alone.
The final transcription includes punctuation prediction and formatting. Advanced systems detect sentence boundaries, capitalize proper nouns, and handle numbers, dates, and special characters automatically.
Writers, journalists, and bloggers use speech recognition for writing to draft content 3x faster than typing. Speaking naturally maintains creative flow without keyboard interruption. Particularly effective for long-form content like books, articles, and reports.
Professionals dictate emails, memos, and meeting notes. Speech recognition increases productivity for high-volume communication. Especially valuable for executives and managers who spend hours daily on correspondence.
Healthcare providers document patient encounters, diagnosis notes, and treatment plans using medical dictation software. Specialized medical vocabulary support and HIPAA-compliant offline processing address industry requirements.
Attorneys dictate case notes, briefs, and client communications using legal dictation software. Confidentiality requirements favor local processing over cloud services. Custom dictionaries handle legal terminology and Latin phrases.
Essential tool for users with repetitive strain injuries, carpal tunnel syndrome, or mobility limitations. Voice input provides alternative to keyboard and mouse interaction.
Successful speech to text usage requires proper microphone setup and practice. Position a quality USB microphone 4-6 inches from your mouth in a quiet environment. Speak naturally at normal conversation speed, using complete sentences.
Most users experience an adjustment period of 3-7 days as they develop comfort with voice composition. Initially, you may need to verbalize punctuation ("period," "comma," "new paragraph"). Modern AI systems increasingly handle punctuation automatically.
Start with short dictation sessions to build stamina. Speaking uses different mental processes than typing. Allow time to develop your voice writing style and workflow habits.
When handling sensitive information, evaluate where transcription processing occurs. Cloud-based services transmit audio to remote servers, creating potential exposure for confidential content.
Local processing keeps data on your device but requires capable hardware. For medical, legal, or business-critical applications, offline speech to text solutions provide necessary privacy and security compliance.
Review data retention policies: do services store your audio or transcripts? How long? Who has access? For maximum privacy, choose software with local processing and no telemetry.