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August 3, 20263 min read

AI for historians: transcribing archives, researching sources and writing with AI

AI for historians: how to use artificial intelligence to transcribe historical archives, research documents, discover connections in massive corpora and write academic texts.

  • Claude
  • NotebookLM
  • Transkribus

If you’re a historian, you know what it’s like to spend weeks over a bundle of documents: deciphering eighteenth-century handwriting, taking notes by hand and cross-referencing sources no one else has read together. A big chunk of that work, the slowest and most mechanical part, can already be done for you by artificial intelligence.

Not to replace your critical eye or your knowledge of the context. To take away the tedious part and leave you the interpretation, which is what truly makes a historian.

Transcribe historical archives without straining your eyes

One of the heaviest tasks is reading old manuscripts, with difficult handwriting and faded ink. Today there are AI tools specialized in paleography, like Transkribus, that recognize handwriting from different eras and give you back editable text. It’s not perfect, but it turns hours of transcription into a first draft that you only have to review and correct.

For printed or typewritten documents, a general model like Claude or ChatGPT can transcribe a photo, tidy up the text and even modernize the spelling if you ask.

Documentary research: read faster, without stopping reading

AI doesn’t replace your reading of the sources, but it helps you reach what matters sooner. From a corpus of documents it can:

  • Summarize a long file and tell you which sections are worth reading in full
  • Search for every mention of a person, a place or a topic
  • Compare two versions of the same event and point out differences
  • Sort a pile of undated letters into a chronological order

Tools like NotebookLM let you upload your own sources and ask them questions, with the advantage that it answers by citing the document, so you can verify.

Discover connections in massive corpora

This is where AI shines for history. When you have thousands of documents, it’s impossible to read them all at once and remember every detail. AI can trace patterns: which names appear together, how the use of a word changes across decades, which networks of people recur across letters. These are leads, not conclusions. You decide which to follow and which to discard.

Academic writing: a draft, not your voice

For writing, AI works as a drafting assistant:

  1. You give it your structure and your notes. “I have these arguments and these sources, help me organize the chapter”.
  2. You ask for specific improvements. “Make this paragraph clearer without changing the meaning”, or “suggest three ways to frame this introduction”.
  3. You write the final version. The analysis, the thesis and the voice are yours.

AI drafts and organizes. The historical interpretation is yours.

The important part: verify everything

An AI model can invent a quote, a date or a source that sounds credible but doesn’t exist. For a historian that’s unacceptable. So:

  • Always verify every fact, quote and reference against the original source.
  • Don’t trust a transcription or translation without checking it against the document.
  • Treat AI as a fast but distracted assistant: useful, but never the last word.
  • Mind the rights and provenance of the documents you upload.

AI does the mechanical 80%. The 20% that requires your training, your context and your rigor stays yours, and that’s where your value is.

Start small

You don’t have to digitize your whole archive tomorrow. Start with a single task: that document you’ve been putting off transcribing for months. Hand it to an AI tool this week and see how much time you get back.

If I, without being a historian, can build things with AI, you with your knowledge of the field can achieve so much more. You just have to start.


Want these tools compared in depth? Check the unbiased reviews.

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