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Transcribe

🤖 AI Drafted (Not reviewed)

Extract text from images (OCR)

Tool id transcribe
Category vision
Uses a language model yes
Needs a generative model no
Runs over many items yes
Item handling elementwise
Structured output yes
Human-verified yes

What it reads

Port Type Required What it is
Files (files) files yes Image files
Context (context) any no Previous text/transcription
Metadata (metadata) json no Existing metadata
Documents (documents) json no Document metadata

What it emits

Port Type Required What it is
Text (text) text Raw text response
Value (value) any Parsed value
Texts (texts) array Per-item texts
Values (values) array Per-item values
Results (results) json Full results
Records (records) array Per-document text records [{doc_id, text}, …].
Artifacts (artifacts) json Artifact IDs

Options

Option Type Default What it does
choices array Valid choices. (Not shown in the editor.)
chunk_size_chars integer 0 Chunk large input text above this character budget (0=auto).
force_ocr boolean no Force image processing instead of existing text.
language string auto Language locale, or ‘auto’ to follow the library’s language policy.
match_mode string prefer Match mode. One of: prefer, strict, inform.
max_image_dimension integer 8192 Max image size.
max_items integer 10 List max items.
max_tokens integer 8192 Max response.
max_words integer 50 Word limit.
metadata_field string Save to field.
model_name string Model name.
output_format string text Response format. One of: text, boolean, choice, number, words, list, json.
prompt string Custom prompt.
provider_name string LLM provider. One of: openai, anthropic, google, ollama, lmstudio, groq, together, deepseek, mistral, openrouter, dashscope, xai, perplexity, fireworks, deepl.
quality_gate boolean yes Stop the run if output is unreadable.
reference_values object Known values to match. (Not shown in the editor.)
regions_first boolean yes Detect text regions on-device (Apple Vision) BEFORE transcribing, saving per-page bounding boxes as a regions artifact — works for every provider, unlike return_boxes.
return_boxes boolean no Ask the model for word/line bounding boxes (Gemini only; other providers transcribe without geometry and say so).
save_to_db boolean yes Save to library.
save_to_file boolean no Export to file.
temperature number 0.7 Creativity.
thinking_mode string off Chain-of-thought reasoning depth. One of: off, short, medium, long.
update_page_content boolean yes Index for search.
vision_mode string auto Vision engine. ‘auto’ picks based on the resolved provider: apple → Apple Vision OCR; anything else → LLM vision path. One of: auto, apple, llm. (Not shown in the editor.)

The prompt it sends

This is what the tool asks a model, with every option left at its default. Changing the options above changes this text.

Transcribe the text visible on this image.

Language: transcribe in the language of the source. Do not translate, and do not assume the document is in English.

Rules:
- Output ONLY the transcription. No headings, no preamble, no commentary,
  no summary, no notes, no explanations, no observations about quality or
  legibility, no descriptions of seals or images, no language about the
  difficulty of the handwriting.
- Preserve original layout, line breaks, and paragraph structure.
- Preserve original spelling and capitalisation, including ALL CAPS
  headers if they appear that way.
- Preserve orthography exactly as written, including all diacritics
  and accent marks (e.g., keep "Chocó" as "Chocó", never "Choco";
  keep "Ramón" as "Ramón", never "Ramon").
- Do not strip accents, tildes, cedillas, or umlauts. If a mark is
  visible, keep it.
- Include every visible text element — headers, body, marginalia, stamps,
  signatures (transcribe the signed name as written), printed labels,
  handwritten annotations.
- For text you cannot confidently read, use explicit uncertainty markers:
  [ilegible] for unreadable text and [uncertain] for plausible-but-low-
  confidence readings. Place the marker inline at the uncertain span.
  Do not guess. Do not fill in.
- Do NOT invent dates, numbers, names, or words that are not legibly
  present. Do not normalise dates ("23/7/1999" stays "23/7/1999", not
  "1999-07-23").
- Do NOT repeat any portion of the transcription. Output each visible
  passage exactly once.
- If the image contains no legible text, output the single token
  [sin texto].