Oxylabs VS VideoCensor

VideoCensor's answer:

VideoCensor is the only profanity filter built specifically for censoring swear words in video and audio. Key differentiators:

• Song mode with vocal separation — Demucs AI extracts vocals from music, censors profanity in voice only, leaves the music untouched. No other service does this.
• Process by URL — paste a YouTube, TikTok, or Instagram link, no need to download the file first.
• Custom censor sounds — upload your own beep, sound effect, or use silence. Free on all plans (competitors charge $10+/mo for this).
• 3 processing modes — Standard (fast), Precise (parallel transcription for noisy audio), Enhanced (vocal separation for songs).
• Starting at $1.99/mo — 5-17x cheaper than Bleepify, CurseCut, or Choppity.

VideoCensor's answer:

• Price — $1.99/mo for 100 minutes vs $9-15/mo at competitors. Up to 17x cheaper.
• Song mode — only VideoCensor can remove profanity from songs using AI vocal separation (Demucs). Bleepify, CurseCut, Choppity can’t.
• URL processing — paste a YouTube or TikTok link directly. No other profanity filter supports this.
• Custom sounds — free on all plans. Bleepify charges $10/mo for this feature.
• Speed — 10-minute video processed in ~2 minutes. 22x faster than manual editing in Audacity or Premiere Pro.
• No watermarks on paid plans. Choppity adds watermarks on free tier.
• Subtitle export — SRT/VTT in both clean and original versions.

VideoCensor's answer:

• YouTubers and content creators — avoid demonetization by removing profanity before publishing
• Podcasters — clean up interviews and conversations automatically
• Production studios and media companies — prepare clean versions for TV, radio, and streaming
• TikTok and Instagram creators — keep content platform-compliant
• Educators and corporate trainers — clean webinar and lecture recordings
• Music producers — create clean versions of songs for radio and playlists

VideoCensor's answer:

VideoCensor was born from a simple frustration: manually bleeping profanity in videos takes forever. A 10-minute video could mean 45+ minutes of tedious work in Audacity or Premiere Pro — finding each word, cutting, inserting beeps, checking transitions.

We built an AI that does this in under 2 minutes. What started as a tool for Russian-speaking YouTubers quickly grew to support English and multiple content types — podcasts, songs, webinars, gaming videos.

The song mode was the breakthrough: using Demucs neural network to separate vocals from music, then censoring only the voice track. No other service in the world offers this.

12,000+ files processed and growing.

VideoCensor's answer:

• Next.js — frontend (React, TypeScript)
• Node.js — backend API and processing orchestration
• Python — AI/ML audio processing microservice
• FFmpeg — audio/video transcoding and censoring
• AI speech recognition — proprietary multi-provider pipeline for maximum accuracy
• Demucs (Meta AI) — neural network for vocal separation in songs
• PostgreSQL — database
• Docker — containerized deployment
• Redis — job queue and caching