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docs/pt-BR/tools/file-document/ocrtool.mdx

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+---
+title: OCR Tool
+description: The `OCRTool` extracts text from local images or image URLs using an LLM with vision.
+icon: image
+mode: "wide"
+---
+
+# `OCRTool`
+
+## Description
+
+Extract text from images (local path or URL). Uses a vision‑capable LLM via CrewAI’s LLM interface.
+
+## Installation
+
+No extra install beyond `crewai-tools`. Ensure your selected LLM supports vision.
+
+## Parameters
+
+### Run Parameters
+
+- `image_path_url` (str, required): Local image path or HTTP(S) URL.
+
+## Examples
+
+### Direct usage
+
+```python Code
+from crewai_tools import OCRTool
+
+print(OCRTool().run(image_path_url="/tmp/receipt.png"))
+```
+
+### With an agent
+
+```python Code
+from crewai import Agent, Task, Crew
+from crewai_tools import OCRTool
+
+ocr = OCRTool()
+
+agent = Agent(
+    role="OCR", 
+    goal="Extract text", 
+    tools=[ocr],
+)
+
+task = Task(
+    description="Extract text from https://example.com/invoice.jpg", 
+    expected_output="All detected text in plain text",
+    agent=agent,
+)
+
+crew = Crew(agents=[agent], tasks=[task])
+result = crew.kickoff()
+```
+
+## Notes
+
+- Ensure the selected LLM supports image inputs.
+- For large images, consider downscaling to reduce token usage.
+ - You can pass a specific LLM instance to the tool (e.g., `LLM(model="gpt-4o")`) if needed, matching the README guidance.
+
+## Example
+
+```python Code
+from crewai import Agent, Task, Crew
+from crewai_tools import OCRTool
+
+tool = OCRTool()
+
+agent = Agent(
+    role="OCR Specialist",
+    goal="Extract text from images",
+    backstory="Vision‑enabled analyst",
+    tools=[tool],
+    verbose=True,
+)
+
+task = Task(
+    description="Extract text from https://example.com/receipt.png",
+    expected_output="All detected text in plain text",
+    agent=agent,
+)
+
+crew = Crew(agents=[agent], tasks=[task])
+result = crew.kickoff()
+```
+
+