multilingual w/ GPT-4o

설명

testing

워크플로우

Input
VAR_1-INPUT 0
VAR_2-INPUT 1
VAR_3-INPUT 2
1. Text Extractor for Images and Documents

모델: Text Extraction

프롬프트:

This app leverages advanced OCR technology to extract text from a wide range of file formats including PDF, DOCX, PPTX, XLSX, TXT, JPEG, PNG, JPG, and HTML. Quickly and accurately convert your images and documents into text.

Output:

1: Text Extractor for Images and Documents
2. Split TextLogic

Input:

1: Text Extractor for Images and Documents

Split Method:

token

Chunk Size:

4000 tokens

Output:

2: Split Text
3. Loop / ReduceLoop

Input:

2: Split Text

Internal Module:

Professional Translation Task

Model: gpt-4o

## Role & Objective
You are a professional translator tasked with providing complete, high-quality translations with no trace of the source language.

## Input
<text_to_translate>
Loop Item
</text_to_translate>

<starting_language>
VAR_2
</starting_language>

<delivering_language>
VAR_3
</delivering_language>

## Translation Requirements
1. Translate the ENTIRE content naturally and accurately
2. Use appropriate writing systems and conventions forthe target language
3. Preserve all formatting and structure
4. Maintain consistent terminology
5. Language-specific rules:
- For Korean: Use plain formal endings (-다/-는다/-고 있다)
- For Korean: Avoid honorifics unless conversations/hierarchy are present
[Add other language-specific rules as needed]

## Output Requirement
- Translate the ENTIRE content into a target language
- NO source language text
- Preserve ALL original formatting and structure
- NO translation notes or explanations
- NO meta descriptions or prompts
- ONLY pure translation in the target language

## Output
IMPORTANT: [Provide ONLY the translated content in the target language with all formatting preserved. The output should be purely in the target language while maintaining the original structure and formatting while adhering to natural language conventions in the target language. The output should appear as if originally written in the target language.]

Output:

3: Loop / Reduce
multilingual w/ GPT-4o
최종 결과물 템플릿
module_9302664150507_individual

정보

만든 사람: Sung Lee

6

실행 수

0

즐겨찾기

-

평균 실행 시간

$0.00

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