Le Chat OCR for scans: test extraction and check the text

For Le Chat OCR work, start with one scanned page and compare any extracted text with the original before processing more. The Libraries guide↗ (opens in a new tab) documents source uploads, but does not establish a dedicated OCR control or guaranteed scan accuracy. Treat the result as a candidate transcript. Keep the corrections and the next check in fenbs, so another assistant can continue without repeating your review.

Le Chat is now Vibe↗ (opens in a new tab), and the steps here use documented Vibe Work controls. OCR means turning text in an image into machine-readable text. It is a separate task from summarizing that text, and success at one does not prove success at the other.

What can you confirm before uploading a scan?

Keep the original page image available throughout the check. Decide what you need: a literal transcript, a few fields, or a table. Do not start with “summarize this document” if your first question is whether its words and numbers were read correctly.

• Choose one representative page you are allowed to upload.
• Include a difficult section in the test, such as a small table or an unclear date.
• Write down the fields where an error would matter most.
• Decide how you will mark unreadable text rather than guessing it.
• Keep a copy of the source before making any cleanup or rotation changes.

A clean-looking page can still contain a misleading character. A product code with the letter O may resemble a zero, and a faint minus sign can change a measurement. Test the kind of detail you actually need rather than accepting a readable paragraph as proof that the whole scan is accurate.

How do you try a small source-upload test?

1. In the documented sidebar interface, open Libraries and choose New Library.
2. Name the collection so you can distinguish the test from checked source material.
3. Drag in the test file or click Upload.
4. Open a chat and attach the collection through + → Libraries.
5. Request a literal transcript of the test page. If the content cannot be read reliably, stop and use an approved extraction method before continuing.

These are Library upload steps, not a documented OCR-specific setup path. The vendor guide does not establish that every scan will produce usable text. Do not infer handwriting support, language coverage, a page limit, or a guaranteed layout result from the existence of an upload control.

For reusable source organization, see Le Chat Libraries. Keep the extraction test small before building a larger collection. If you need a different assistant for the work, Claude versus Mistral addresses that separate choice.

What should a transcription request say?

Ask for the words as they appear, with uncertainty made visible. A useful example is: “Transcribe the text on the first page. Preserve headings and line order where possible. Mark an unreadable word as [unclear]. Do not complete a sentence from context or summarize the page.”

For a table, describe the columns you need and ask that empty cells remain empty. For a short form, name the fields you want and ask for the source location beside each value. Check the output against the image before turning it into another format.

• Literal transcription: what words and symbols are visible?
• Structural check: which heading, row, or column does each value belong to?
• Interpretation: what does the checked text mean?
• Action: what should a person do with that meaning?

Keep those questions in that order. A summary can sound right even when it silently repaired an unreadable word. The Mistral system prompt guide covers framing instructions; your original page remains the evidence for whether the transcript is correct.

Which transcription errors should you check first?

Start with the values that affect the next step. In a hypothetical equipment sheet, the model name, revision, dimensions, and warning text may matter more than the introductory paragraph. Read those fields directly from the image and compare them character by character.

Record corrections with a page reference and a reason. “Page 2, width field: corrected 18 to 16 after visual check” is useful; “OCR fixed” is hard to audit. Save that check in fenbs’s shared work record so later work does not accidentally reuse the earlier mistake.

What should you do with unclear text?

Leave it unresolved until you have better evidence. Try a clearer original or ask the document owner for the value. Do not turn a likely spelling or a plausible number into a confirmed transcription simply because it fits the surrounding sentence.

If several pages share the same layout, a successful test is a reason to continue carefully, not a reason to skip checks. Repeat a spot check where the print quality changes. For important fields, review every value that will drive an action. Keep the unverified transcript separate from your corrected copy.

Only after the text is checked should you ask for a summary or comparison. The Le Chat research workflow covers reviewing claims made from sources. More document workflows appear in AI at work.

How to keep scan corrections with fenbs

Keep the checked result so you can continue from exactly where you left off, on any device and in any other connected AI. Preserve the correction and what still needs checking instead of copying a large, unverified transcript.

1. Create a free account.
2. Write which document and page you checked, the corrected text, and any unreadable parts. Keep the original in its approved home.
3. Connect Le Chat to fenbs through Vibe Work’s custom connector controls. See Integrations for guidance; setup requires an administrator.
4. Save the next check and tell the next connected assistant which values are verified and which are still uncertain.

fenbs does not perform OCR or certify a transcript. If you only need a searchable copy of a document, an approved OCR tool and your file storage may be enough. Use fenbs when the checks and corrections need to guide ongoing work.