In　view　of　the　text　in　image　or　video　on　the　visual　interference　and　privacy　issues,　a　text　removal　method　combining　text　location　and　image　inpainting　is　proposed.　Firstly,　the　method　inputs　the　image　with　text　into　the　text　location　network　to　identify　the　text　contour　area,　and　then　generates　the　masked　image　to　simulate　image　damage　part　according　to　the　text　contour　area.　Finally,　the　damaged　image　is　repaired　through　the　damage　reconstruction　network　to　realize　text　removal.　At　the　same　time,　in　order　to　ensure　the　reliability　of　the　text　removal,　the　complementary　fusion　layer　is　proposed　to　ensure　the　non-text　area　in　image　do　not　change.　The　experimental　results　show　that　compared　with　the　traditional　texture　and　patch　repair　algorithm　our　method　has　a　better　repair　effect.　Compared　with　the　improved　generative　adversarial　network　method,　our　method　is　more　close　to　the　original　image　features.　©　2023　SPIE.