Lyric Plagiarism Detection

Analyze semantic similarity between lyrics using multilingual text understanding.

Endpoint

POST /api/v1/lyric-plagiarism/{model_name}

Parameters

Path Parameters

Name	Type	Required	Description
model_name	string	Yes	Model to use: standard only for now!

Request Body

Field	Type	Required	Description
lyric_text	string	Yes	Lyrics to analyze (sentences separated by \n)
song_title	string	Yes	Title of the song

Request Example

cURL

curl https://platform.mippia.com/api/v1/lyric-plagiarism/standard \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{
    "lyric_text": "I walk alone through empty streets\nSearching for a love I cannot find\nThe stars above remind me of your eyes\nBut you are gone and left me here behind",
    "song_title": "Empty Streets"
  }'

Python

import requests

url = "https://platform.mippia.com/api/v1/lyric-plagiarism/standard"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
data = {
    "lyric_text": "I walk alone through empty streets\nSearching for a love I cannot find\nThe stars above remind me of your eyes\nBut you are gone and left me here behind",
    "song_title": "Empty Streets"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Response (Initial)

{
  "taskId": "string"
}

Callback Response (Completed)

{
  "task_id": "task_20251204052920_J8uNdq5z",
  "task_name": "lyric_plagiarism_checking",
  "status": "completed",
  "completed_at": "2025-12-04T05:29:28Z",
  "result": {
    "max_similarity": 0.7234,
    "total_songs_checked": 163706,
    "top_matches": [
      {
        "rank": 1,
        "artist": "Artist Name",
        "title": "Similar Song Title",
        "year": "2019",
        "combined_score": 0.7234,
        "paragraph_score": 0.6891,
        "sentence_score": 0.7234,
        "similar_parts": [
          {
            "query_sentence": "I walk alone through empty streets",
            "target_sentence": "Walking alone on lonely roads",
            "similarity": 0.8123
          },
          {
            "query_sentence": "The stars above remind me of your eyes",
            "target_sentence": "Your eyes shine like the stars at night",
            "similarity": 0.7856
          }
        ]
      },
      {
        "rank": 2,
        "artist": "Another Artist",
        "title": "Another Song",
        "year": "2021",
        "combined_score": 0.6542,
        "paragraph_score": 0.6542,
        "sentence_score": 0.5891,
        "similar_parts": [
          {
            "query_sentence": "Searching for a love I cannot find",
            "target_sentence": "Looking for a love that's hard to find",
            "similarity": 0.7654
          }
        ]
      }
    ]
  }
}

Result Fields

Field	Type	Description
max_similarity	float	Highest similarity score (0.0 - 1.0)
total_songs_checked	integer	Number of songs in the database
top_matches	array	Top 20 most similar songs
top_matches[].rank	integer	Ranking position
top_matches[].artist	string	Artist name
top_matches[].title	string	Song title
top_matches[].year	string	Release year
top_matches[].paragraph_score	float	Full lyrics similarity
top_matches[].sentence_score	float	Best matching sentence similarity
top_matches[].similar_parts	array	Top 3 most similar sentence pairs

Notes

• Sentence splitting: Input lyrics are split into sentences by newline (\n). Each line is treated as a separate sentence for analysis.

• Language support: 100+ languages supported via multilingual embeddings

• Processing time: 5-10 seconds typical

• Database: 160,000+ songs indexed

Note: This API is currently in Beta and is free to use. Pricing will be announced before general availability. Future Tasks : phonetic/rhyme similarity in lyrics!