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Published Oct 24, 2026
Community evidence suggests potential churn drivers:
From available sources, reasons likely include:
No dedicated, detailed Scribe v2 customer case studies with independently validated metrics were located in the reviewed sources.
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G2 (product reviews / pros & cons aggregation)
These aggregated themes indicate potential buying considerations such as pricing and plan limits, but they do not isolate Scribe v2 batch transcription performance.
Reddit (billing/support concern in Scribe v2 Realtime usage) A developer reported unexpectedly high usage billing relative to recorded time while using the official React SDK with Realtime Scribe and noted the usage dashboard did not reflect API calls. The thread described a delayed response from support over multiple days.
A reply in that thread noted that the author had switched to a different provider until the billing issue was resolved and expressed concern about relying on ElevenLabs in production when support access is limited for lower-tier plans. This thread concerns Realtime usage and billing instrumentation rather than batch Scribe v2 specifically, but it is relevant to enterprise billing trust.
Reddit (launch announcements) Community posts around launch describe Scribe v2 as intended for batch transcription, subtitles, and captioning at scale and reference features such as entity detection, keyterm prompting, and multi-language transcription. These are vendor statements and community reactions rather than independently validated performance metrics.
Vendor materials indicate Scribe v2 is used within ElevenLabs Studio to support subtitles and captioning workflows and is designed for batch transcription of long-form audio. The materials describe features such as long-audio stability and pause handling.
Critical evaluation: These vendor-published benefits are plausible but lack quantified ROI or time-to-value metrics. Buyers should request:
ElevenLabs Scribe v2 (often referred to informally as “Scribe2”) is ElevenLabs' primary speech-to-text (STT) transcription model, optimized for batch transcription of long-form audio and video (subtitles/captions and large library processing). The vendor describes Scribe v2 as addressing: (1) accuracy across multiple languages, (2) production workflow outputs (timestamps, diarization), and (3) controls such as data residency options and a zero retention mode.
Scribe v2 is distinct from Scribe v2 Realtime, which the vendor describes as optimized for low-latency streaming use cases (voice agents, live captioning).