Embodiments of the present invention relate to the field of computing, and more particularly to photographic capture devices. The following described exemplary embodiments provide a system, method, and program product to, among other things, utilize speech-to-text and natural language processing (NLP) to understand user feedback and sentiment to a captured photograph and, accordingly, modify capture settings so subsequent photographs conform to user preferences. Therefore, the present embodiment has the capacity to improve the technical field of photographic capture devices by conserving system resources necessary to process multiple photographs that do not conform to user preferences.

As previously described, photography relates to the field of capturing images by recording light, or other electromagnetic radiation, through an electronic capture device or, chemically, through a light-sensitive medium, such as photographic film. An electronic capture device, or a photographic capture device, relates to any device capable of receiving light through a sensor and generating an image based on the light pattern captured by the sensor. A photographic capture device may be communicatively coupled with a user device where the primary purpose of the user device may not be for photographic capture, such as a smartphone. Common photographic capture devices may include still image and video camera of various sizes and quality. Many current photographic capture devices may allow a user to edit a captured photograph through user interactions with a graphical user interface. For example, a user may apply a color-changing filter or add text or graphics to a captured photograph.