Accurate automated transcription and captioning for media
Sonix is an automated transcription and captioning platform that converts audio and video into searchable text with multi-language support and timestamps. It's best for media teams, podcasters, and researchers who need accurate transcripts, time-aligned captions, and simple proofreading tools. Sonix offers pay-as-you-go transcription and subscription plans starting with a low per-minute rate, making it accessible for one-off projects and ongoing workflows.
Sonix is an automated transcription and captioning tool for audio and video in the Voice & Speech category. It converts uploaded files into searchable, time-stamped text, supports 40+ languages, and provides speaker labeling, automated captions, and export-ready subtitles. Sonix’s key differentiator is its editor that shows paragraph-level timestamps and allows corrections directly on the waveform, which speeds up review. The platform targets podcasters, video producers, researchers, and enterprise content teams. Pricing includes a pay-as-you-go option and monthly subscriptions, keeping Sonix accessible for occasional users and teams requiring volume discounts.
Sonix is a cloud-based transcription and captioning platform founded to simplify converting audio and video into editable, time-aligned text. Launched by an independent team, Sonix positions itself for professional media workflows rather than casual note-taking apps. The core value proposition is accurate, searchable transcripts with robust export options—SRT, VTT, TXT, DOCX—and a browser-based editor that aligns text with audio waveforms and timestamps.
Sonix emphasizes speed-to-text for content teams that publish podcasts, videos, and interviews and integrates with common production pipelines. Sonix’s feature set centers on automated transcription (supports 40+ languages and variants), speaker labeling, and a multi-track waveform editor. The editor displays paragraph-level timestamps and lets you jump to any timestamp, correct text inline, and split or merge segments.
Sonix also generates caption files (SRT, VTT) and burned-in subtitles via its export tools and offers automated translations for transcripts into additional languages. Batch upload and automated folder processing via their API or cloud-storage integrations help scale bulk jobs. Additional features include word-level confidence scores, searchable transcripts, and a built-in collaboration workflow with comments and version history for team review.
Pricing is split between pay-as-you-go and subscription plans. Sonix offers a Pay-As-You-Go transcription rate charged per recorded minute (exact per-minute rates vary by currency and promotions). The Standard monthly plan (when billed monthly) covers a set amount of transcription minutes per month and lowers per-minute costs, while Team and Enterprise tiers add centralized billing, user management, and priority support.
Sonix also provides a free trial/minute allocation for new accounts so users can evaluate transcription quality before committing; higher-volume pricing and SSO, invoicing, and custom SLAs are available on enterprise quotes. Sonix is used by podcasters for episode transcription and captioning, video producers for subtitle generation and export to editing suites, and researchers for searchable interview transcripts. Example users: a Podcast Producer using Sonix to create time-stamped episode transcripts and automated SRT files for each episode, and a UX Researcher using Sonix to transcribe and tag 20 interviews per month for qualitative analysis.
Compared with competitors like Rev and Otter, Sonix focuses on file-format export completeness, batch processing, and media-friendly editor features rather than live meeting capture.
Three capabilities that set Sonix apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Pay-As-You-Go | $10.00/hour (billed per minute) | Billed per minute, no monthly commitment, pay as used | Occasional users needing one-off transcripts |
| Standard Monthly | $22/month | Includes 5 hours transcription/month; reduced per-minute rate | Regular creators with modest monthly volume |
| Pro / Team | $45+/month per seat | Higher minutes, team seats, shared billing, priority support | Small teams producing weekly content |
| Enterprise | Custom | Custom minutes, SSO, API access, SLAs and invoices | Media teams and organizations needing scale |
Copy these into Sonix as-is. Each targets a different high-value workflow.
You are Sonix, an automated transcription assistant. Task: convert a single podcast audio file into a clean, time-stamped transcript and an export-ready SRT subtitle file. Constraints: detect and label two speakers as Host and Guest; paragraph-level timestamps every 10–30 seconds; remove obvious filler tokens (uh, um) but keep meaningful disfluencies; ensure SRT cues are max 2 lines, 42 characters per line, and no cue exceeds 7 seconds. Output format: 1) Clean transcript with [HH:MM:SS] paragraph timestamps and speaker labels, 2) SRT file contents starting with 1. Example transcript line: [00:02:14] Host: Welcome back — today we discuss X.
You are Sonix summarizer for business meetings. Task: from an uploaded meeting audio, produce concise meeting minutes and a prioritized action-item list. Constraints: include meeting title, date/time, attendees (speaker-labeled), 6–8 bullet summary points capturing decisions, and a separate action-items table with owner, due date (or 'TBD'), and confidence level (low/med/high). Output format: JSON object with keys: title, datetime, attendees[], minutes[], actions[{task, owner, due_date, confidence}]. Example action: {"task":"Prepare draft budget","owner":"Alice","due_date":"2026-05-01","confidence":"high"}.
You are Sonix captioning engineer. Task: produce a WebVTT (.vtt) file for a 2–10 minute marketing video. Constraints: use 1) sentence-aware cueing (don’t break mid-sentence), 2) max 42 characters per line, max 3 lines per cue, 3) preserve speaker labels as [SpeakerName] when speakers change, and 4) sync to paragraph-level timestamps with <0.3s timing precision. Output format: raw .vtt text beginning with 'WEBVTT' and using timestamps in HH:MM:SS.mmm. Example cue: 00:00:12.200 --> 00:00:15.800 [Host] Welcome to our product demo.
You are Sonix, assisting a UX researcher. Task: transcribe a batch of interview files and output a single CSV for qualitative analysis. Constraints: 1) include row per speaker turn with columns: file_name, start_time, end_time, speaker, text, code_tags (comma-separated); 2) apply up to 3 investigator-provided codes per turn (codes provided below); 3) flag uncertain transcriptions with a 'confidence' column (<0.7 = 'low'). Output format: CSV with header. Example row: "int1.mp3","00:02:14","00:02:28","Participant","I often forget to...","usability,reminder","0.82". Codes: usability, frustration, feature_request, habit, privacy.
You are Sonix, an expert localization engineer. Task: transcribe the source English audio and produce localized, culturally adapted subtitles in Spanish and French. Multi-step constraints: 1) generate an English transcript with paragraph timestamps; 2) produce two translated subtitle files (SRT) per target language preserving original timing but allow 0.5s timing slack for natural reading; 3) adapt idioms for target cultures and use formal tone for enterprise clients; 4) keep each subtitle cue under 42 characters per line and 2 lines max. Output format: a JSON object with keys: english_transcript (string), spanish_srt (string), french_srt (string). Provide brief notes explaining any adaptation choices.
You are Sonix, acting as a privacy compliance specialist. Task: transcribe a confidential meeting audio, automatically detect and redact PII, and produce a redaction audit log. Multi-step constraints: 1) identify PII types (names, emails, phone numbers, SSNs, addresses, account numbers), 2) replace PII in the transcript with tags like [REDACTED_NAME] and preserve timestamps and speaker labels, 3) produce a CSV log with columns: redaction_id, pii_type, original_text (hashed), timestamp_start, timestamp_end, speaker, redaction_reason. Output format: 1) redacted transcript text, 2) redaction_log.csv content. Example log row: "r1","email","e3b0c442...","00:12:05","00:12:07","Alice","GDPR-request".
Choose Sonix over Rev if you prioritize batch exports, flexible per-minute billing, and media-format subtitle options.
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