Podcaster — from recording to publication without a sound engineer
Journalist — interview processing, transcription, article
Expert — records content by voice
Company — runs a corporate podcast
Raw recording → professional audio, transcription with speakers, article and publication — from a single audio file
Noise reduction — two-pass via Sox (noise profile from a quiet segment → suppression) or neural RNNoise via FFmpeg. AC noise, street noise, hum — removed. Volume normalization — per EBU R128 standard (same standard as YouTube and Spotify). All speakers sound equally loud. Silence and pause removal — long pauses, "umm"s, silence between answers — automatically cut. Dynamic range compression — quiet parts louder, loud parts quieter. Listener doesn't touch the volume. Equalizer — remove hum (highpass), add voice clarity, remove sibilance. Fade in/out — smooth start and end. Mixing with intro/outro — upload your jingle music → automatic overlay with crossfade. Conversion — to MP3, OGG, FLAC, WAV, M4A — any format for any platform.
Full transcription with speaker identification — who said what. Timecodes for each segment. Up to 6 speakers simultaneously.
Transcription → edited article → published to Telegraph. PDF version for download. Key takeaways summary — for episode description. Speaker quotes — ready for social media posts.
A podcaster recorded a 45-minute interview via Zoom. Quality is mediocre: fan noise, one guest quiet, the other loud, 5–10 second pauses between questions.
GistiQ removes noise (two-pass Sox), normalizes volume per EBU R128, cuts pauses longer than 2 seconds, compresses dynamic range. Adds intro (uploaded MP3 jingle) with crossfade. Transcribes with two speaker identification. From the transcription creates a Telegraph article — introduction, key quotes, conclusions. Output: processed MP3 for Spotify/Apple Podcasts, transcription, article, PDF — instead of 3 specialists and 2 days of work.