diff --git a/inst/shiny/capture_speech/babelfish.png b/inst/shiny/capture_speech/babelfish.png
index ff1a477..9192294 100644
Binary files a/inst/shiny/capture_speech/babelfish.png and b/inst/shiny/capture_speech/babelfish.png differ
diff --git a/inst/shiny/capture_speech/server.R b/inst/shiny/capture_speech/server.R
index 1f88a3c..312a2d2 100644
--- a/inst/shiny/capture_speech/server.R
+++ b/inst/shiny/capture_speech/server.R
@@ -18,6 +18,40 @@ function(input, output, session){
     translation()
   })
 
+  output$nlp_sentences <- renderTable({
+    req(nlp())
+
+    nlp()$sentences[[1]]
+
+  })
+
+  output$nlp_tokens <- renderTable({
+    req(nlp())
+
+    ## only a few otherwise it breaks formatting
+    nlp()$tokens[[1]][, c("content","beginOffset","tag","mood","number")]
+
+  })
+
+  output$nlp_entities <- renderTable({
+    req(nlp())
+
+    nlp()$entities[[1]]
+
+  })
+
+  output$nlp_misc <- renderTable({
+    req(nlp())
+
+    data.frame(
+      language = nlp()$language,
+      text = nlp()$text,
+      documentSentimentMagnitude = nlp()$documentSentiment$magnitude,
+      documentSentimentScore = nlp()$documentSentiment$score
+    )
+
+  })
+
   input_audio <- reactive({
     req(input$audio)
     a <- input$audio
@@ -122,6 +156,46 @@ function(input, output, session){
 
   })
 
+  nlp <- reactive({
+    req(get_api_text())
+    req(input$nlp)
+
+    nlp_lang <- switch(input$nlp,
+        none = NULL,
+        input = substr(input$language, start = 0, stop = 2),
+        trans = input$translate # not activated from ui.R dropdown as entity analysis only available on 'en' at the moment
+    )
+
+    if(is.null(nlp_lang)){
+      return(NULL)
+    }
+
+    ## has to be on supported list of NLP language codes
+    if(!any(nlp_lang %in% c("en", "zh", "zh-Hant", "fr",
+                       "de", "it", "ja", "ko", "pt", "es"))){
+      message("Unsupported NLP language, switching to 'en'")
+      nlp_lang <- "en"
+    }
+
+    message("Calling NLP API")
+    shinyjs::show(id = "api",
+                  anim = TRUE,
+                  animType = "fade",
+                  time = 1,
+                  selector = NULL)
+
+    nnn <- gl_nlp(get_api_text(), language = nlp_lang)
+
+    message("API returned: ", nnn$text)
+    shinyjs::hide(id = "api",
+                  anim = TRUE,
+                  animType = "fade",
+                  time = 1,
+                  selector = NULL)
+    nnn
+
+  })
+
   observe({
 
     req(translation())
diff --git a/inst/shiny/capture_speech/ui.R b/inst/shiny/capture_speech/ui.R
index 1e29b2a..e786950 100644
--- a/inst/shiny/capture_speech/ui.R
+++ b/inst/shiny/capture_speech/ui.R
@@ -49,6 +49,13 @@ shinyUI(
                                                                        "Italian" = "it",
                                                                        "Norwegian" = "nb",
                                                                        "Swedish" = "sv")),
+      helpText("Send the text to the Natural Language API for NLP analysis below."),
+      selectInput("nlp", "Perform NLP", choices = c("No NLP" = "none",
+                                                    "NLP" = "input"
+                                                    #,
+                                                    #"On Translated Text" = "trans"
+                                                    )
+                  ),
       helpText("Many more languages are supported in the API but I couldn't be bothered to put them all in - see here:",
                a(href="https://cloud.google.com/speech/docs/languages", "Supported languages"))
     ),
@@ -63,7 +70,12 @@ shinyUI(
       h2("Transcribed text"),
       p(textOutput("result_text")),
       h2("Translated text"),
-      p(textOutput("result_translation"))
+      p(textOutput("result_translation")),
+      h2("NLP"),
+      tableOutput("nlp_sentences"),
+      tableOutput("nlp_tokens"),
+      tableOutput("nlp_entities"),
+      tableOutput("nlp_misc")
     )
   ),
   helpText(