8 posts tagged with "AI Transcription"

Public meeting video is only half the record. Residents also need the agenda they read before the meeting, the board packet with staff reports, and the official minutes that follow. Until now, those documents usually lived on a separate page on your website while the recording sat in Granicus, YouTube, or a Recap embed. Residents bounced between tabs. Clerks re-uploaded the same PDFs in multiple places.

Recap Innovations now supports meeting documents and draft minutes directly on each meeting recording. Attach an agenda, packet, published minutes, or highlights document, or generate a structured draft minutes document from the transcript. Everything appears alongside the searchable transcript and captions in your Recap embed and showcase collections.

A five-hour deposition produces roughly 75,000 words of testimony. At traditional court reporting rates, transcribing that single session can cost $1,500 to $4,000 and take three to five business days for delivery. For firms managing dozens of active cases with depositions, witness interviews, and recorded client meetings running concurrently, those costs and delays compound into a material drag on case preparation.

AI-powered transcription is changing the economics. Firms using modern transcription platforms receive accurate, speaker-identified drafts within hours of upload, at a fraction of the per-page cost of traditional court reporting. And with court-formatted export capabilities, those transcripts arrive ready for filing, not in a format that requires manual reformatting.

Every shift, police officers generate hours of recorded audio and video through body-worn cameras, interview rooms, and in-car systems. Converting those recordings into accurate, searchable transcripts is essential for building prosecutable cases, meeting discovery deadlines, and maintaining public accountability. But police transcription is not the same as general transcription: it requires strict data security, chain-of-custody documentation, and compliance with federal standards like the FBI's Criminal Justice Information Services (CJIS) Security Policy.

Speech-to-text alone does not produce professional captions. When a video shows a door slam, a siren in the distance, or background music that sets the tone, viewers who are deaf or hard of hearing miss that information unless captions describe it. Professional captioning standards treat these descriptive sound cues as essential, not optional.

Recap now adds descriptive sound cues automatically during transcription. When you upload a video or re-transcribe an existing file, you can turn this on with a single checkbox (on by default). The result is bracketed, lowercased sound descriptions inline in your captions, editable in the transcript editor, and exported in every caption format you publish.

City clerks are responsible for the official record of public meetings, but producing detailed minutes is one of the most time-consuming parts of the job. AI-powered transcription can automate the bulk of this work while simultaneously making meetings accessible and searchable for residents.

This guide covers what city clerks need to know about adopting automated meeting transcription: how it works, what accuracy to expect, how it fits into existing workflows, and how to procure it.

A growing number of cities and towns are investing in searchable meeting transcripts as a way to increase civic engagement, reduce staff workload, and meet ADA Title II accessibility requirements. The trend is accelerating in 2026 as residents demand easier access to local government proceedings.

As institutions evaluate media accessibility vendors, one of the most important questions is: "Should we use AI transcription, human transcription, or something in between?"

The answer depends on your specific use case, budget, accuracy requirements, and compliance obligations. This guide from Recap Innovations breaks down the differences between service tiers and helps you make informed decisions.

Ensuring that video-based content is accessible to all learners is increasingly important in online learning environments. Video transcription, closed-captions, translation, and audio description are essential tools for addressing barriers faced by students with hearing and sight impairments, non-native speakers, and those who benefit from text-based learning. This article outlines best practices for integrating these tools into online learning environments, with a focus on how AI technologies can streamline and enhance the process, while also incorporating human-generated transcripts for added accuracy.