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Earwig is a real-time “interview intelligence” tool built for interviews and video production. While filming, users can tap LOG, GREAT, or enter manual notes; the system transcribes the audio in real time, summarizes what was being said at that moment, and extracts usable verbatim quotes. It can then import color-coded markers into a DaVinci Resolve or Adobe Premiere Pro timeline, helping editors quickly find the right footage.
Its feature set is highly focused. First, it supports on-set logging, including synced camera timecode, real-time transcription, one-tap markers, desktop shortcuts, and PDF shoot logs. Second, it bridges directly into post-production, with markers that can be sent straight into Resolve or Premiere. Third, it helps with interview preparation by generating tailored questions, displaying them one by one, and suggesting follow-up questions during the conversation. Fourth, it offers more advanced AI capabilities, including real-time fact-checking, research suggestions, Producer view, and paper edit. For long-form material such as documentaries, news, podcasts, and research interviews, its value proposition is fairly clear.
Public terms state that new users get a 15-day free trial with no payment card required. After the trial, continued recording and transcription require a subscription at £24/month, with payments handled by Stripe and cancellation available at any time. The pricing is simple and transparent, but there is no visible information about team plans, enterprise plans, or usage-based billing.
Earwig says it does not store audio, does not view transcripts, and does not use user content to train AI models; users retain ownership of their content. The service uses Speechmatics for transcription, Anthropic for AI analysis, and Stripe for payments. On the collaboration side, the available descriptions mention Producer view and shared debriefs/PDF logs, but there is little evidence of enterprise-grade capabilities such as role-based permissions, SSO, or audit logs.
Its strengths are a tightly focused workflow, direct NLE integration, and a meaningful reduction in the time spent searching through footage in post. The downsides are that it is currently invite-only, the service is operated by an individual business entity, so enterprise buyers should assess continuity and support, and AI fact-checking still needs human verification. It is well suited to documentary teams, podcasters, YouTube interview creators, news interviewers, casting teams, and research groups.
The available information does not mention access from mainland China, Chinese-language support, or local payment options. Stripe and overseas AI services may involve network and payment uncertainty for users in China. Chinese teams may also want to evaluate alternatives such as Descript, Trint, Otter.ai, as well as the built-in transcription features in Premiere and Resolve.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on earwig.io official site.
earwig.io is an United Kingdom Hiring & Remote provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach earwig.io directly.