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Text Processing

SRT / ASS Subtitle Text Extractor

Extract clean dialogue text from pasted SRT, ASS, or SSA subtitles.

text· Text resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/srt-ass-subtitle-extract-text' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"subtitleFile.ext","contentType":"application/octet-stream","size":12345}'

# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
  --data-binary @/path/to/file.ext

# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/srt-ass-subtitle-extract-text' \
  -F 'subtitleText=1
00:00:01,000 --> 00:00:02,500
Hello <i>world</i>!

2
00:00:03,000 --> 00:00:04,000
Second line.' \
  -F 'subtitleFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'format=srt' \
  -F 'separator=paragraph'

© 2026 Elysia Tools. Developer documentation.

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API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/srt-ass-subtitle-extract-text

Parameters

NameTypeRequiredDescription
subtitleTexttextareaNo—
subtitleFilefileupload requiredNo—
formatselectNo—
separatorselectNo—
File-type parameters must be uploaded first via POST /upload/srt-ass-subtitle-extract-text, then the returned filePath is passed to the corresponding file field.

Response format

Text result

JSON
{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-srt-ass-subtitle-extract-text": {
      "name": "srt-ass-subtitle-extract-text",
      "description": "Extract clean dialogue text from pasted SRT, ASS, or SSA subtitles.",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=srt-ass-subtitle-extract-text",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "srt-ass-subtitle-extract-text",
    "arguments": {
  "subtitleText": "1\n00:00:01,000 --> 00:00:02,500\nHello <i>world</i>!\n\n2\n00:00:03,000 --> 00:00:04,000\nSecond line.",
  "subtitleFile": "https://example.com/file.ext",
  "format": "srt",
  "separator": "paragraph"
}
  }
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).
File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]

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