Extract the Text from a Historical Document
Historical document transcription used to mean a volunteer or a researcher typing out a scan or a photo of an old letter, ledger, or record by hand. ScreenApp’s document tool reads the file with AI instead: upload a file, then use supported tools to convert formats or extract text, audio, frames or a summary, so a scanned page, a photograph of a document, or a PDF becomes text you can read, search, or copy elsewhere.
Upload the file and the extracted text lands in your ScreenApp library. From there you can read it straight through, search for a name or a date, or ask the AI questions about what it says.
What you get:
- Text extracted from an uploaded scan, photo, or PDF with AI
- A PDF or office-document upload is PDFs and office documents are converted so they can be read and chatted with, the same as a recording
- Ask the AI to summarize the document, pull out names and dates, or translate a passage
- no watermark on any recording or export
- Free plan: 3 uploads, with no set file size limit
- Pro removes the upload cap for $19 a month billed annually
How to Transcribe a Historical Document
- Upload the document: the tool on this page takes video and audio; for a scan, a photo, or a PDF, open the ScreenApp app and upload the file there, or drag it into your library from a computer, phone, or tablet.
- AI reads and extracts the text: the tool pulls the readable text out of the image or file and saves it to your library alongside the original.
- Read, search, or take it further: open the result to read it, search for a word or a name, copy the text out, or ask the AI a question about the document.
Results depend heavily on the source. A clean, well-lit scan of typed or clearly printed text gives the AI the most to work with. Faded ink, tight handwriting, water damage, torn pages, and older or archaic scripts all reduce how much comes through correctly, and the output should be checked against the original rather than taken as a finished transcript. See how we measure accuracy.
Historical Document Transcription vs Other Tools
| Feature | ScreenApp | Transkribus | Image to Text (imagetotext.io) | Image to Text (imagetotext.info) |
|---|---|---|---|---|
| Free tier | 3 uploads, with no set file size limit | 50 credits a month, up to 10 MB per image | Free basic conversion, no file-size limit stated | Free basic conversion, no file-size limit stated |
| Paid plan | $19/month annual, no upload cap | Not stated on the product page | $6/month, up to 30 MB | $8/month, up to 20 MB, 50 images per submission |
| Built for historical or handwritten scripts | Not stated | 100+, including historical scripts | Not stated | Not stated |
| Stated language count | Not stated | 100+ | 20 languages listed | Not stated |
| No watermark | no watermark on any recording or export | Not stated | Not stated | Not stated |
Sources, checked 2026-09-12: ScreenApp pricing, transkribus.org/image-to-text, imagetotext.io, imagetotext.info
- vs Transkribus: Transkribus is built specifically for handwritten and historical text recognition, with 50 free credits a month for images up to 10 MB and support across 100+. ScreenApp’s free plan is 3 uploads with no set file size limit, aimed at getting the text out and into a library you can chat with rather than at archival cataloguing.
- vs Image to Text (imagetotext.io): its paid plans start at $6 a month for files up to 30 MB. ScreenApp’s Pro plan is $19 a month billed annually and removes the upload cap on any file.
- vs Image to Text (imagetotext.info): its paid plan is $8 a month for files up to 20 MB and 50 images per submission. ScreenApp’s free plan covers 3 uploads with no set file size limit with no separate OCR paywall.
Who Uses AI to Transcribe Historical Documents
Genealogists upload a scan of a census page, a ship’s manifest, or a family Bible record and get searchable text instead of squinting at a photograph for a surname.
Historians and researchers pull the text out of a letter, a diary page, or an archival record so they can search it, quote it, and file it alongside their other notes.
Archivists and librarians run a batch of scanned pages through the tool to get a rough text layer for a collection, then check it against the original before it goes into a catalogue.
Local history and genealogical societies digitize donated letters, ledgers, and photographs from members, turning a shoebox of paper into text that can be searched and shared.
Students transcribing a primary source for a paper get a starting text to work from, then compare it line by line against the scan for their citation.
Families with an old letter, recipe card, or handwritten will get a readable version they can share, without anyone retyping it by hand.