Accurate speech-to-text and transcript editing for creators
Trint is an AI-driven speech-to-text platform that transcribes audio and video, provides editable transcripts, and supports collaboration — ideal for journalists, podcasters, and content teams who need searchable, timestamped transcripts and basic workflow tools. Pricing starts with pay-as-you-go and monthly tiers, making it accessible for solo creators to enterprise teams; choose plans based on transcription hours and collaboration features.
Trint is a voice & speech tool that converts audio and video into searchable, timestamped, editable transcripts using AI. It focuses on fast automated transcription, a browser-based editor that links text to audio, and collaboration tools for teams. Trint’s key differentiator is its integrated editor that lets users correct transcripts while listening to the exact clip and export to common formats. The product serves journalists, podcasters, market researchers, and enterprise content teams; pricing includes pay-as-you-go and subscription plans to fit occasional users through large teams.
Trint is an AI-first transcription and speech-to-text service founded in 2014 and positioned as a productivity platform for anyone who needs accurate, searchable transcripts from audio and video. It emphasizes an online, browser-based workflow with transcripts linked to the original media, allowing users to search, edit, and export text while listening to the source. Trint operates globally and sells to individual creators, media organizations, and enterprises, offering cloud-hosted transcription with optional human proofreading via partners. The core value proposition is reducing the time between recorded audio and usable, shareable text for production workflows.
Trint’s feature set centers on four practical capabilities. Automated transcription supports multiple languages (dozens supported on the platform) and produces timestamped text that syncs to audio/video for frame-accurate review. The online Transcription Editor highlights words as audio plays and allows word-level corrections, speaker labeling, and search across a project. Exports include SRT, VTT, DOCX, and plain-text, plus integrations for video workflows. Collaboration tools let teams share projects, comment inline, and assign editing roles. Additional features include bulk upload and batch processing for multi-file projects and an AI-powered summary/keyword extraction tool in the editor.
Trint’s pricing is a mix of pay-as-you-go credit bundles, monthly subscriptions, and custom enterprise plans. A free trial or limited trial credit is offered for new users (small sample minutes). Paid options include an Essentials/Creator monthly plan (priced around the mid to high tens of dollars per month with a set number of transcription hours), a Pro or Team plan with more hours and collaboration features, and Enterprise pricing that includes SSO, admin controls and volume discounts. Pay-as-you-go credit packs let occasional users buy minutes without a subscription. Enterprise customers receive custom SLAs, dedicated onboarding and security reviews; exact monthly prices vary and should be confirmed on Trint’s pricing page for current figures.
Actual users range from freelance podcasters and reporters to corporate content teams. A news reporter uses Trint to transcribe interviews and cut verified quotes in minutes for faster publishing. A marketing manager uses Trint to transcribe customer interviews and produce searchable research archives, reducing research turnaround time. Video producers transcribe footage, export SRTs, and speed up captioning; legal teams use transcripts for review workflows. For teams that need heavy editing and advanced collaboration, Trint competes closely with Rev and Otter; it stands out for its in-browser editor and enterprise collaboration features compared to many rivals.
Three capabilities that set Trint 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 | Per-minute credit packs (variable) | Buy minutes as credits; no monthly commitment, expires per pack rules | Occasional users needing few transcripts |
| Creator / Essentials | $48/month (historical reference) | Set monthly transcription hours, basic exports, individual seat | Solo creators and freelancers |
| Pro / Team | $60–$150+/month (varies by seats/hours) | More transcription hours, collaboration, bulk upload | Small teams needing shared projects |
| Enterprise | Custom | Custom hours, SSO, admin controls, SLAs | Large orgs needing security and scale |
Copy these into Trint as-is. Each targets a different high-value workflow.
You are a Trint transcript editor. Given a raw automated transcript and associated audio timestamps, clean and correct obvious ASR errors, normalize filler words (ums/uhs) to [pause] when under one second and remove repetitive fillers, keep speaker labels exactly (Speaker 1, Speaker 2), preserve original timestamps in brackets at the start of each paragraph, mark inaudible segments as [inaudible], and do not invent content. Output: cleaned transcript as plain text with timestamps and speaker labels. Example input line: [00:02:15] Speaker 1: I, um, I think we should— Output example: [00:02:15] Speaker 1: I think we should.
You are Trint's caption generator. Convert a podcast transcript into valid SRT captions for YouTube: split into cues no longer than two lines and 42 characters per line, ensure each cue duration is at least 1 second and no longer than 7 seconds, preserve speaker attribution as inline tags (e.g., <v Speaker 1>), correct punctuation and expand ambiguous contractions for clarity, and do not add content not present in the transcript. Output: valid SRT text with sequential cue numbers, timestamps (HH:MM:SS,ms), speaker inline tags, and caption text. Example cue: 1\n00:00:05,000 --> 00:00:08,000\n<v Speaker 2> Welcome back to the show.
You are a Trint research assistant. For the provided interview transcript, divide content into topical segments (3–5 sentence runs), assign 3–5 theme tags per segment drawn from a consistent tag vocabulary, generate a one-sentence summary per segment, and include start/end timestamps plus speaker attribution. Constraints: return a JSON array of segments ordered by time, tags must be lowercase single words or hyphenated phrases, summaries max 20 words, and do not invent quotes. Output format: JSON with objects: {"start":"HH:MM:SS","end":"HH:MM:SS","speaker":"Speaker 1","tags":[...],"summary":"...","text":"..."}. Example segment entry included for format reference.
You are Trint's market-research analyzer. Analyze customer interview transcripts and for each speaker turn compute a sentiment_score (-1.00 to 1.00), assign sentiment_label (negative/neutral/positive) using threshold: score <= -0.2 negative, -0.2 < score <= 0.2 neutral, > 0.2 positive, and propose a concise action_recommendation (max 10 words). Constraints: output must be CSV sorted by timestamp and include columns: segment_id,start_timestamp,end_timestamp,speaker,sentiment_score,sentiment_label,action_recommendation; round sentiment_score to two decimals and prefer action_recommendation starting with a verb; do not fabricate dialogue. Output example row: 1,00:01:05,00:01:12,Speaker 2,0.45,positive,Follow up on feature request.
You are Trint acting as a legal transcript redaction specialist. Task: given a deposition transcript, identify and redact PII and privileged content per US privacy standards: non-public personal names, SSNs, phone numbers, email addresses, physical addresses, account numbers, and attorney-client privileged passages. Steps: 1) produce a redacted transcript keeping timestamps and speaker labels, replacing each redaction with [REDACTED:<TYPE>] (e.g., [REDACTED:EMAIL]); 2) produce a CSV redaction log with columns: redaction_id,start,end,speaker,type,original_snippet,justification; 3) write a one-paragraph redaction summary explaining criteria used. Example redaction: original '[email protected]' -> '[REDACTED:EMAIL]'.
You are Trint's executive meeting summarizer and comms writer. From a recorded meeting transcript produce: 1) concise meeting minutes (title, date, attendees); 2) bulleted decisions (each with timestamp and short rationale); 3) an action items table with owner, due date (YYYY-MM-DD), priority (high/medium/low), and exact supporting quote; and 4) two email drafts: an internal team email listing bullet actions and owners, and an external stakeholder email with a one-paragraph summary plus next steps. Constraints: minutes under 300 words, action items max 10 entries, do not fabricate owners/dates—if missing, mark owner as TBD and suggest a plausible due date. Output: JSON with fields minutes, decisions, actions, emails. Example action item provided for format.
Choose Trint over Rev if you prioritize an in-browser word-level editor and team project controls for newsroom workflows.