The work you publish can become training data.
Put your choice on record.

Sourcemark gives writers and knowledge workers a structured way to declare their AI training choice, with a verification page that makes it visible and checkable wherever their work is published.

Get started — it's free

Why this matters for writers

You publish frequently: articles, research papers, reports, manuscripts and blog posts. Once they are out in the world, they are indexed, copied, quoted, scraped and redistributed across multiple contexts.

Documents often lose their connection to the author as they circulate. Metadata is inconsistent. PDFs are shared without context. Articles are reproduced in extracts or archived elsewhere. By the time questions are asked about AI training, there is often no visible signal showing what the author wanted.

That is the gap Sourcemark is built to address: not stopping publication, but making your AI training choice easier to declare and easier to check before training happens.

How Sourcemark works for writers

Select the document you publish

Select your PDF: the final article, published paper, report or manuscript. Sourcemark fingerprints it locally, so the file stays on your device.

Declare your AI training choice

Choose whether the work is not available for AI training or available by licence. If you choose to licence, add the right contact: you, your publisher, your agent or your representative.

Publish with the record

Include your verification link in your author bio, publication footer, personal website or institutional repository. It becomes part of how you publish, not an afterthought.

A workflow that fits how you work

Sourcemark is designed to fit a publishing routine: select the document, declare your choice and publish with a verification page that can travel with the work.

What writers get

Built for PDFs from day one

Designed for articles, papers, reports and manuscripts.

Exact fingerprinting

Create a precise record tied to the specific file you publish.

Verification pages

Share a record showing AI training status, timestamp and licensing route.

Collections

Organise declarations by publication, project, subject or reporting beat.

Append-only history

Updates are recorded without erasing what came before.

Representative declarations

Publishers or institutions can declare on behalf of the writers they represent.

For academics and researchers

Research papers and scholarly publications are highly relevant to AI training because they are structured, information-dense and widely distributed online. Sourcemark lets you declare your AI training choice for the papers you publish, whether through an institution, journal or preprint server. This is not about withdrawing from open access. It is about making your position on AI training visible alongside the work you already share.

For journalists

Journalists publish into fast-moving, highly indexed environments where articles can be copied, archived and reused quickly. Sourcemark gives you a visible record of your AI training choice that can sit alongside your byline, site profile or publication record.

Declaring your AI training choice is free.

Paid plans add higher-volume workflows, advanced organisation tools and support for professional or institutional use.