# Examples high fidelity

#### Recommended High Fidelity Use Cases (Grouped by Content Type)

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<summary><strong>Low-Quality Portraits or Selfies</strong></summary>

Photos taken in low light or with old smartphone cameras often lose facial detail.\
High Fidelity cleans skin texture, eye lines, and subtle elements without distortion.

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FXo83JsNmTzf0M3rxuKAQ%2Fimage.png?alt=media&#x26;token=eacc038a-e776-449b-b18e-440c5a745ca6" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FQRHSUHNo5AL6JQc4l8FW%2Fimage.png?alt=media&#x26;token=a6ecc5be-6877-4105-a2ed-ebf0d77e2373" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2F2kEflkc1Gru2AKh37gYZ%2Fimage.png?alt=media&#x26;token=7cacc6df-89be-4e7e-b864-49884bf3c1fe" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FaiBIWox0nO2YqHYFWOcB%2Fimage.png?alt=media&#x26;token=fb507c1d-2796-417d-b58d-b71330f2da0b" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FtcMIIFFUaVm0je0zLetb%2Fimage.png?alt=media&#x26;token=84efb769-ad26-410b-800b-1ad32c9ac508" alt=""><figcaption></figcaption></figure>

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<summary><strong>Compressed Images from Web</strong></summary>

Images downloaded from WhatsApp, websites, or old emails often suffer from compression artifacts.\
High Fidelity can remove the “blocky” JPEG texture and restore edge definition.

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FmKtvVjz8Blw7D2m13uLU%2Fimage.png?alt=media&#x26;token=662bd7fd-1461-4c58-b379-1757085a11e5" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FfF4HjgMfBzkYaLdH8eGl%2Fimage.png?alt=media&#x26;token=8f4e29da-498f-4f67-b075-50ec155e5848" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FXkF1wHqQgyCyL6Pw0I8x%2Fimage.png?alt=media&#x26;token=2c78cb40-8343-43a9-a5ce-58771c659341" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FV81xb25WI7z9ikxIX6ub%2Fimage.png?alt=media&#x26;token=62cdd11f-8d64-4d3b-a510-efeb355c8b80" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2246724799-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxa6pppxBdqJC3760p5E9%2Fuploads%2FdAbxHWEVfaheNCcpjkWH%2Fimage.png?alt=media&#x26;token=d7ce7efb-082f-413a-a054-99f04a0e68c7" alt=""><figcaption></figcaption></figure>

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