diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9e5f9a6..5a3a7b7 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,7 @@
+### 0.18.1 (2026-06-08)
+##### fix
+- правильный экспорт текстовых данных
+
 ### 0.18.0 (2026-06-06)
 ##### features
 - возможность отрганичить доступ к базам данных для отдельных пользователей
diff --git a/README.md b/README.md
index ac317ba..6e402b3 100644
--- a/README.md
+++ b/README.md
@@ -23,6 +23,7 @@ git clone https://gitea.madelirihs.ru/madeliri/shiny_form.git
 
 Восстановление окружения
 ```r
+renv::activate()
 renv::init()
 ```
 
diff --git a/app.R b/app.R
index f0b8b3b..d326593 100644
--- a/app.R
+++ b/app.R
@@ -1020,7 +1020,8 @@ server <- function(input, output, session) {
 
           date_columns   <- subset(scheme, form_type == "date", form_id, drop = TRUE)
           number_columns <- subset(scheme, form_type == "number", form_id, drop = TRUE)
-          other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
+          # other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
+          other_cols     <- colnames(df)[!(colnames(df) %in% c(date_columns, number_columns))]
 
           df <- df |>
             dplyr::mutate(
@@ -1028,7 +1029,7 @@ server <- function(input, output, session) {
               dplyr::across(tidyselect::all_of({{date_columns}}), as.Date),
               # числа - к единому формату десятичных значений
               dplyr::across(tidyselect::all_of({{number_columns}}), ~ gsub("\\.", "," , .x)),
-              dplyr::across(tidyselect::all_of({{other_cols}}), as.character)
+              dplyr::across(tidyselect::all_of({{other_cols}}), \(x) dplyr::if_else(x == "", as.character(NA), as.character(x)))
             ) |>
             # очистка от пустых ключей
             dplyr::filter(!is.na(mhcs()$get_main_key_id))
@@ -1238,7 +1239,8 @@ server <- function(input, output, session) {
 
       date_columns   <- subset(scheme, form_type == "date", form_id, drop = TRUE)
       number_columns <- subset(scheme, form_type == "number", form_id, drop = TRUE)
-      other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
+      # other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
+      other_cols     <- colnames(df)[!(colnames(df) %in% c(date_columns, number_columns))]
 
       # функция для преобразование числовых значений и сохранения "NA"
       num_converter <- function(old_col) {
@@ -1258,7 +1260,7 @@ server <- function(input, output, session) {
           # даты - к единому формату
           dplyr::across(tidyselect::all_of({{date_columns}}),   \(x) purrr::map_chr(x, db$excel_to_db_dates_converter)),
           dplyr::across(tidyselect::all_of({{number_columns}}), num_converter),
-          dplyr::across(tidyselect::all_of({{other_cols}}),     as.character)
+          dplyr::across(tidyselect::all_of({{other_cols}}), \(x) dplyr::if_else(x == "", as.character(NA), as.character(x)))
         ) |>
         select(all_of(unique(c(main_key_id, scheme$form_id))))
 
diff --git a/descr.yml b/descr.yml
index 60bb454..a95c37f 100644
--- a/descr.yml
+++ b/descr.yml
@@ -1,4 +1,4 @@
 default:
-  form_app_version: 0.18.0
+  form_app_version: 0.18.1
   form_id: formy
   form_name: FORMY
\ No newline at end of file
diff --git a/modules/db.R b/modules/db.R
index bc83242..1d8f0c5 100644
--- a/modules/db.R
+++ b/modules/db.R
@@ -200,7 +200,8 @@ write_df_to_db = function(
 
   date_columns   <- subset(scheme, form_type == "date", form_id, drop = TRUE)
   number_columns <- subset(scheme, form_type == "number", form_id, drop = TRUE)
-  other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
+  # other_cols     <- which(colnames(df) %in% c(date_columns, number_columns))
+  other_cols     <- colnames(df)[!(colnames(df) %in% c(date_columns, number_columns))]
 
   df <- df |>
     dplyr::mutate(
@@ -208,7 +209,7 @@ write_df_to_db = function(
       dplyr::across(tidyselect::all_of({{date_columns}}), \(x) purrr::map_chr(x, excel_to_db_dates_converter)),
       # числа - к единому формату десятичных значений
       dplyr::across(tidyselect::all_of({{number_columns}}), ~ gsub("\\.", "," , .x)),
-      dplyr::across(tidyselect::all_of({{other_cols}}), as.character),
+      dplyr::across(tidyselect::all_of({{other_cols}}), \(x) dplyr::if_else(x == "", as.character(NA), as.character(x)))
     )
 
   if (table_name == "main") {