Speech to Text

Automatic Speech Recognition (ASR) bridges the gap between vibrating sound waves and written language. Converting continuous human speech into discrete text tokens is a complex challenge: speakers modulate their pitch, run syllables together, and introduce regional dialect variations.

Our speech-to-text engine utilizes modern Connectionist Temporal Classification (CTC) neural architectures specifically calibrated on Indian language phonetics and diverse acoustic environments.

How Acoustic Waves Become Formatted Text

When you upload an audio file or record a take into our transcription studio:

1. Acoustic Pre-Processing: The raw audio waveform is sliced into short 25-millisecond frames using a sliding Hamming window. Fast Fourier Transforms (FFT) convert these time-domain slices into frequency spectrograms (log-mel filterbanks).
2. CTC Acoustic Modeling (Vakyansh Architecture): A deep bidirectional convolutional neural network computes probability distributions for each phonetic character at every time step, predicting whether a frame represents a consonant, vowel, or silent pause.
3. Beam Search Language Decoding: The raw phonetic predictions are passed through a multilingual language model that resolves phonetic ambiguities, ensuring grammatically coherent sentences with correct native script orthography.

Audio Preparation Tips for Maximum Transcription Accuracy

While our neural models are resilient to background noise, following a few basic studio recording principles will significantly increase word accuracy:

• Maintain a 6-Inch Distance from the Microphone: Position your microphone slightly off-axis from your mouth to avoid harsh plosives ("p" and "b" pops) that distort acoustic low frequencies.
• Avoid Over-Compression: Heavy dynamic range compression or aggressive noise gates can cut off the tail ends of consonants (like "s", "t", and "k"), degrading acoustic phoneme recognition.
• Export in Uncompressed WAV or High-Bitrate MP3: When extracting audio from video interviews or voice memos, choose 128kbps or higher to prevent compression artifacts from corrupting high-frequency sibilance.

Multi-Format Export for Video and Podcasting

Once your audio is transcribed, you can review and edit the text directly on the canvas. With a single click, export your transcript as:

• Plain Text (.txt): Perfect for articles, show notes, and editorial summaries.
• Structured JSON (.json): Full metadata including word counts and character counts for developer pipelines.
• Subtitles (.srt): Formatted captions ready to drop directly into Adobe Premiere, DaVinci Resolve, or Final Cut Pro.