The current <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Zoetrope 1.0</hi> prototype already allows researchers to search for keywords ( <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">segment 1</hi>). Any keyword can be used as a query, which will then be searched in the spoken (Mozilla DeepSpeech<ref xmlns="http://www.tei-c.org/ns/1.0" n="2" target="ftn2" /> with a German model by Agarwal and Zesch<ref xmlns="http://www.tei-c.org/ns/1.0" n="3" target="ftn3" />) and written (scene detection framework <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">easyOCR</hi><ref xmlns="http://www.tei-c.org/ns/1.0" n="4" target="ftn4" />) language of the video. We also embed the query using word embeddings<ref xmlns="http://www.tei-c.org/ns/1.0" n="5" target="ftn5" /> so that we can find words semantically related to the query as well. Via a slider, the similarity threshold can be set looser or more exact (=100%). The results of such a query are visualized in <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">segment 2</hi>, which basically uses a timeline metaphor. Query results found in spoken language are rendered in green, results in written language are rendered in red. Note that for the query “Krieg” we also find semantically related concepts such as “Truppen”, “Invasion” or “Militär”, due to the semantic similarity threshold, which was set here rather low, at 50%. In segment 3, we see some exemplary automatically determined features, including face detection and audio analysis by means of a spectrogram. Finally, segment 4 shows an interactive video player, which can be navigated by means of the timeline or by clicking on specific results, such as a keyword or a face. Visible features, such as written keywords or faces, can also be rendered with their bounding box withing the video.