Other endpoints

Analyze text

POST

https://text-analysis-api2.p.rapidapi.com

/v1/analyze/text

Analyzes the provided text for patterns and performs NLP analysis

Analyze text › Request Body

text

string · required

Text to analyze

Analyze text › Responses

Successful response

success

boolean · required

Whether the detection was successful

analyzed_at

string · date-time · required

Timestamp of the analysis

object · required

count

integer · required

Total number of detections

NLPAnalysisResults

POST/v1/analyze/text

curl https://text-analysis-api2.p.rapidapi.com/v1/analyze/text \
  --request POST \
  --header 'Content-Type: application/json' \
  --header 'x-rapidapi-key: <api-key>' \
  --data '{
  "text": "text"
}'

Example Request Body

{
  "text": "text"
}

json

Example Responses

{
  "success": true,
  "analyzed_at": "2024-08-25T15:00:00Z",
  "detections": {
    "emails": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "urls": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "ip_addresses": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "credit_cards": [
      {
        "value": "value",
        "position": 0,
        "flags": [
          "string"
        ]
      }
    ],
    "phone_numbers": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "dates": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "currencies": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "measurements": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "accounts": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "addresses": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "languages": [
      {
        "value": "value",
        "position": 0
      }
    ]
  },
  "count": 0,
  "nlp_analysis": {
    "languages": [
      "string"
    ],
    "entities": {
      "people": [
        "string"
      ],
      "organizations": [
        "string"
      ],
      "locations": [
        "string"
      ]
    },
    "topics": [
      "string"
    ],
    "categories": [
      "string"
    ],
    "keywords": [
      "string"
    ],
    "summary": "summary",
    "sentiment": "positive",
    "moderation": {
      "flagged": true,
      "reasons": [
        "string"
      ]
    }
  }
}

json

application/json

Analyze file upload

POST

https://text-analysis-api2.p.rapidapi.com

/v1/analyze/upload

Analyzes text extracted from an uploaded file

Analyze file upload › Request Body

file

string · required

File to analyze (PDF, DOCX, TXT, HTML)

Analyze file upload › Responses

Successful response

success

boolean · required

Whether the detection was successful

analyzed_at

string · date-time · required

Timestamp of the analysis

object · required

count

integer · required

Total number of detections

NLPAnalysisResults

original_file_size

integer

Size of the original file in bytes

extracted_text_length

integer

Length of the extracted text in characters

POST/v1/analyze/upload

curl https://text-analysis-api2.p.rapidapi.com/v1/analyze/upload \
  --request POST \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-rapidapi-key: <api-key>' \
  --form 'file=file'

Example Request Body

{
  "file": "file"
}

text

Example Responses

{
  "success": true,
  "analyzed_at": "2024-08-25T15:00:00Z",
  "detections": {
    "emails": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "urls": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "ip_addresses": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "credit_cards": [
      {
        "value": "value",
        "position": 0,
        "flags": [
          "string"
        ]
      }
    ],
    "phone_numbers": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "dates": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "currencies": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "measurements": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "accounts": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "addresses": [
      {
        "value": "value",
        "position": 0
      }
    ],
    "languages": [
      {
        "value": "value",
        "position": 0
      }
    ]
  },
  "count": 0,
  "nlp_analysis": {
    "languages": [
      "string"
    ],
    "entities": {
      "people": [
        "string"
      ],
      "organizations": [
        "string"
      ],
      "locations": [
        "string"
      ]
    },
    "topics": [
      "string"
    ],
    "categories": [
      "string"
    ],
    "keywords": [
      "string"
    ],
    "summary": "summary",
    "sentiment": "positive",
    "moderation": {
      "flagged": true,
      "reasons": [
        "string"
      ]
    }
  },
  "original_file_size": 0,
  "extracted_text_length": 0
}

json

application/json

Analyze text

POST

https://text-analysis-api2.p.rapidapi.com

/v1/analyze/text

Analyzes the provided text for patterns and performs NLP analysis

Analyze text › Request Body

text

string · required

Text to analyze

Analyze text › Responses

Successful response

success

boolean · required

Whether the detection was successful

analyzed_at

string · date-time · required

Timestamp of the analysis

object · required

count

integer · required

Total number of detections

NLPAnalysisResults

Analyze file upload

POST

https://text-analysis-api2.p.rapidapi.com

/v1/analyze/upload

Analyzes text extracted from an uploaded file

Analyze file upload › Request Body

file

string · required

File to analyze (PDF, DOCX, TXT, HTML)

Analyze file upload › Responses

Successful response

success

boolean · required

Whether the detection was successful

analyzed_at

string · date-time · required

Timestamp of the analysis

object · required

count

integer · required

Total number of detections

NLPAnalysisResults

original_file_size

integer

Size of the original file in bytes

extracted_text_length

integer

Length of the extracted text in characters