I tried to use Tesseract for a personal hobby project and found it very lacking. The OCR was not very accurate. I ended up switching to Azure Vision services which gives you 500 free OCR API calls a day (or some similar limit). This was perfect for my needs.
Sadly one of small hobby is to convert my own movies (Blu-Ray) into a digital file for my home server, and the subtitles are all image-based. The app I use (SubtitleEdit) relies on Tesseract for conversion, but it's far from perfect. :( Sure, I could use someone else's subtitle file from the Internet, but that's not as fun than doing it yourself.
I'm not sure what engine it uses for OCR, but I recently had to convert some image-based subtitles to text-based `.srt` format, and had quite good success using a tool named `subtitlecomposer` to do the conversion. During the initial import of the original image-based subtitles, the software stops on every character it does not immediately recognize and asks you what symbol it's looking at. It then builds up a "symbols" map by doing this over and over again, each time it does not recognize the image of a letter, number, or other symbol. This map file can then be renamed to match other subtitle files, in order to process other subtitles in the same font/typestyle. Eventually the symbol map ends up so complete that entire subtitles get converted automagically on import, without ever needing to ask the user any further questions.