<![CDATA[OCR — Extraindo Texto de Imagens e Documentos Digitalizados | Extracting Text from Images and Scanned Documents]]>OCR

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O que e

OCR (Optical Character Recognition) e a tecnologia que extrai texto de imagens — como fotos, prints de tela, documentos digitalizados e PDFs escaneados.

Seu agente consegue ler qualquer texto visivel em imagens e converter para texto editavel.

OCR vs Vision

Recurso OCR Vision
Foco Texto puro Contexto visual completo
Extrai Caracteres, palavras, paragrafos Descricao de cenas, objetos, pessoas
Ideal para Documentos, notas, placas, codigos Analise de imagens, perguntas sobre cenas
Comando ocr_image vision_tool (action=analyze)

Exemplos Praticos

Extrair Texto de um Print

  • Extraia o texto deste screenshot
  • Leia o que esta escrito neste print

Documentos Digitalizados

  • Extraia o texto deste PDF escaneado
  • Leia os dados desta nota fiscal

Placase e Sinalizacao

  • Leia o texto desta placa
  • Extraia as informacoes do cartaz

Formatos Suportados

Formato Extensao Observacao
PNG .png Ideal para screenshots e graficos
JPG .jpg, .jpeg Fotos e imagens comprimidas
TIFF .tiff, .tif Documentos digitalizados de alta qualidade
BMP .bmp Imagens bitmap sem compressao
GIF .gif Imagens animadas (le o primeiro frame)
PDF .pdf Documentos multipagina ou escaneados
WEBP .webp Imagens web modernas

Dicas para Melhores Resultados

  • Use imagens nitidas com boa resolucao
  • Garanta bom contraste entre texto e fundo
  • Evite fotos tremidas ou com reflexo
  • Para documentos escaneados, prefira 300 DPI ou mais
  • Texto impresso tem melhor resultado que texto manuscrito

Dica: Combine OCR com Desktop Automation! Primeiro capture a tela (screenshot), depois extraia o texto (ocr_image).

What It Is

OCR (Optical Character Recognition) is the technology that extracts text from images — like photos, screenshots, scanned documents, and PDF files.

Your agent can read any visible text in images and convert it to editable text.

OCR vs Vision

Feature OCR Vision
Focus Pure text Full visual context
Extracts Characters, words, paragraphs Scene description, objects, people
Best for Documents, notes, signs, codes Image analysis, questions about scenes
Command ocr_image vision_tool (action=analyze)

Practical Examples

Extract Text from a Screenshot

  • Extract the text from this screenshot
  • Read what is written in this print

Scanned Documents

  • Extract text from this scanned PDF
  • Read the data from this invoice

Signs

  • Read the text on this sign
  • Extract the information from the poster

Supported Formats

Format Extension Notes
PNG .png Great for screenshots and graphics
JPG .jpg, .jpeg Photos and compressed images
TIFF .tiff, .tif High-quality scanned documents
BMP .bmp Uncompressed bitmap images
GIF .gif Animated images (reads first frame)
PDF .pdf Multi-page or scanned documents
WEBP .webp Modern web images

Tips for Best Results

  • Use sharp images with good resolution
  • Ensure good contrast between text and background
  • Avoid blurry photos or reflections
  • For scanned documents, prefer 300 DPI or higher
  • Printed text gives better results than handwriting

Tip: Combine OCR with Desktop Automation! First capture the screen (screenshot), then extract the text (ocr_image).

]]>https://community.tacflow.ai/topic/82/ocr-extraindo-texto-de-imagens-e-documentos-digitalizados-extracting-text-from-images-and-scanned-documentsRSS for NodeSun, 26 Jul 2026 11:34:01 GMTWed, 24 Jun 2026 23:13:29 GMT60