This paper focuses on the quality of machine translation and post-editing. Machine translation and post-editing proved to be useful in an enterprise environment as a fast and inexpensive way of translation. A software tool has been made to detect the edit distance between an orginal, raw machine translated text and its post-edited version. After detecting the edit operations (insertion, deletion, substitution and move) the editions have been (and will be further) analyzed to attempt to scale these editions according to frequency and gravity, so that later these results can be used for a tool for semi- or completely automatic post-editing.