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Scribix

Freemium
★ 15 • Updated Jun 9, 2026, 03:02 AM

Scribix is an AI-powered video-to-text transcription service that converts spoken audio in videos into accurate, speaker-labeled text.

Use Cases ▼
01

YouTube creators: Generate captions for accessibility, repurpose long videos into blog posts, and build searchable episode archives. Word-level timestamps make it easy to extract viral clips with precise time markers.

02

Podcasters & Producers: Convert each episode into show notes, blog content, and SEO-indexed transcripts to improve discoverability. Speaker labels arrive ready to publish.

03

Journalists & Interviewers: Transcribe source interviews quickly while on the go, allowing accurate quotation without re-listening. Speaker labels simplify quoting multiple sources.

04

Researchers & UX: Run qualitative coding on focus groups, lectures, and field recordings without expensive human transcription. Search transcribed text for themes and export to tools like Dovetail or Notion.

05

Students: Turn lecture recordings into searchable notes. Click a word to replay a confusing moment, making study sessions more efficient. Affordable plans cover entire semesters.

06

Legal & Compliance: Generate first-pass transcripts of depositions, board meetings, and compliance interviews, with time-coded outputs and an auditable processing chain. SOC 2-aligned security supports sensitive material.

What Problem It Solves ▼

Manual transcription of video and audio content is time-consuming, error-prone, and often lacks accurate speaker identification, making it difficult for creators, journalists, and researchers to quickly convert recorded conversations into usable text for captions, articles, show notes, or analysis. Scribix solves this by providing an AI-driven service that transcribes video and audio files in seconds with high accuracy, speaker labels, and word-level timestamps, enabling users to repurpose content, improve accessibility, and streamline workflows without the cost or delay of human transcription.

Key Features ▼
✓

High accuracy (99.9% on clear audio) with graceful handling of background noise and accents

✓

Supports 200+ languages with auto-detection and code-switching

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Speaker recognition labels up to 8 separate speakers, editable to assign real names

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Word-level timestamps enable precise navigation and export to SRT/VTT subtitles

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Multiple export formats: TXT, DOCX, SRT, VTT, and CSV for diverse workflows

Overview

Scribix is an AI-powered video-to-text transcription service that converts spoken audio in videos into accurate, speaker-labeled text. It supports a wide range of video and audio formats, including MP4, MOV, AVI, MKV, WebM, MP3, and WAV, and accepts either file uploads (up to 1 GB) or links from YouTube, TikTok, and Instagram. The tool leverages modern speech recognition models to deliver transcripts with 99.9% accuracy on clear audio, covering over 200 languages with automatic language detection and code-switching capabilities. Processing is fast, transcribing a 1-hour video in approximately 90 seconds.

Full Description ▼

Key features include speaker recognition for up to 8 distinct voices, with the ability to label speakers as individuals, and word-level timestamps that allow users to click any word to jump to that exact moment in the video. Transcripts can be edited inline, copied to the clipboard, or exported in multiple formats: TXT, DOCX, SRT, VTT, and CSV, making them suitable for documents, captions, spreadsheets, and further analysis. The platform is designed with privacy and security in mind, employing TLS 1.3 encryption in transit, AES-256 at rest, and processing in encrypted memory. Files are automatically deleted after 24 hours, and the service is SOC 2-aligned and GDPR-compliant.

Scribix is accessed through a web interface, requiring a Google sign-in for the free tier. It is trusted by major organizations such as Stanford Podcast Network, TED Conferences, The Atlantic, and Y Combinator, and has transcribed over 10 million minutes for more than 100,000 creators. The service is particularly valuable for content creators, journalists, podcasters, researchers, and legal professionals who need fast, reliable transcription.

Pros & Cons

Pros

+

High accuracy (99.9% on clear audio) with graceful handling of background noise and accents

+

Supports 200+ languages with auto-detection and code-switching

+

Speaker recognition labels up to 8 separate speakers, editable to assign real names

+

Word-level timestamps enable precise navigation and export to SRT/VTT subtitles

+

Multiple export formats: TXT, DOCX, SRT, VTT, and CSV for diverse workflows

Cons

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Accuracy depends on audio quality; significant background noise may reduce precision

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No developer API for programmatic integration into custom applications

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Free tier likely has usage limits on file size and monthly minutes, which may not suit heavy users

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