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AI for Journalists

17 tools ยท verified prices ยท updated continuously

Transcription is the one that changed the job: interviews that took an afternoon to type now take minutes. Research and production tools help too. Generation is where the profession has an actual ethics problem, and this page draws that line explicitly rather than pretending the tools are neutral.

Interviews and transcription

The clearest time saving available to any reporter. Accuracy is good enough that you correct rather than type, though never good enough to quote from without checking the audio.

Research and verification

Finding the document, then reading the document. Everything here is a route to a primary source, and the second half of that sentence is the part that keeps you employed.

Writing and editing

Assistive only. These are for the mechanics โ€” tightening, headline options, spotting the repeated word โ€” not for producing copy that goes out under your byline.

Audio, video and repurposing

Getting one story onto several platforms without a production team.

The lines that end careers

Never publish a quotation you have not checked against the recording โ€” transcription errors are small, plausible and legally expensive. Never let a model generate a fact, a name, a date or a citation that reaches print unverified; the failure mode is confident invention, not obvious error. Never use a synthetic voice or generated image of a real person without labelling it, and check your outlet's policy before you do it at all. Source protection is the other half: a confidential recording uploaded to a consumer transcription service has left your control, and a consumer tier may train on it. If a source's safety depends on it, transcribe locally.

How to pick AI tools as a journalist

Buy transcription first and treat everything else as optional. It is the only tool on this page that removes hours rather than minutes, and for most reporters $10 to $20 a month is the entire justified spend. Whether you want Otter or Descript comes down to whether you also produce audio โ€” Descript's transcript-based editing is worth the higher price only if you are cutting tape.

For research, the distinction that matters is whether the tool answers from your documents or from the internet. NotebookLM answering from a report you uploaded is checkable: it points at a page you can open. A general model answering about the report from training data is not, and that is where invented detail enters a story. On any document-led investigation, upload the documents.

Take the source-protection question seriously before it is urgent. Cloud transcription is fine for a council meeting and wrong for a whistleblower. Decide the rule now โ€” which material never leaves your machine โ€” rather than in the moment when you have an interview to file.

Prices on this page are per month at single-user rates. Several of the most useful tools here cost nothing: NotebookLM, Semantic Scholar, and the free tiers of Otter, Perplexity and Claude cover a lot of real reporting.

AI for journalists: common questions

Otter.ai for most reporters โ€” cheap, accurate enough, usable free tier. Descript if you also edit audio or video, because editing the transcript edits the tape. AssemblyAI if you are transcribing at volume through an API. Check quotes against the audio whichever you use.

Not sure which of these fits your work?

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AI for other professions

Looking for tools by what they do rather than who uses them? Start from the categories, search the full catalog with price filters, or describe the job on AI Match and get three suggestions with reasons.