diff --git a/spring-batch-excel/README.md b/spring-batch-excel/README.md
index fbf12e4..9aa8b60 100644
--- a/spring-batch-excel/README.md
+++ b/spring-batch-excel/README.md
@@ -1,16 +1,16 @@
 # spring-batch-excel
 
-Spring Batch extension which contains ItemReader implementations for Excel. Support for both JExcel and Apache POI is available.
+Spring Batch extension which contains `ItemReader` implementations for Excel. Support for both [JExcel][1] and [Apache POI][2] is available. Simple xls documents can be read with both implementations, however for reading the newer xlsx format [Apache POI][2] is required.
 
 ## Configuration
 
-Next to the [configuration of Spring Batch](http://docs.spring.io/spring-batch/2.2.x/reference/html/configureJob.html) one needs to configure an `ItemReader` which knows how to read an Excel file. 
+Next to the [configuration of Spring Batch](http://docs.spring.io/spring-batch/reference/html/configureJob.html) one needs to configure the `ItemReader` for the desired framework.
 There are 2 `ItemReaders` one can configure:
 
 - `org.springframework.batch.item.excel.jxl.JxlItemReader`
 - `org.springframework.batch.item.excel.poi.PoiItemReader`
 
-Configuration of both readers is the same, the difference is the used technology ([JExcel](http://jexcelapi.sourceforge.net) or [Apache Poi](http://poi.apache.org)) and cababilities of both technologies (JExcel cannot read xlsx files, whereas Apache POI can read those).
+Configuration of both readers is the same.
 
     <bean id="excelReader" class="org.springframework.batch.item.excel.poi.PoiItemReader">
         <property name="resource" value="/path/to/your/excel/file" />
@@ -19,26 +19,28 @@ Configuration of both readers is the same, the difference is the used technology
         </property>
     </bean>
 
-Each reader takes a `resource` which is the excel file to read and a `rowMapper` which transforms the row in excel to an object which you can use in the rest of the process. 
-The project has 2 default `org.springframework.batch.item.excel.RowMapper` implementations.
+Each reader takes a `resource` and a `rowMapper`. The `resource` is the location of the excel file to read and the `rowMapper` transforms the rows in excel to an object which you can use in the rest of the process.
 
-Optionally one can also set the `skippedRowsCallback`, `linesToSkip`, `strict` and `rowSetFactory` property.
+Optionally one can also set the `skippedRowsCallback`, `linesToSkip`, `strict` and `rowSetFactory` properties.
 
 ##### skippedRowsCallback
 When rows are skipped an optional `org.springframework.batch.item.excel.RowCallbackHandler` is called with the skipped row. This comes in handy when one needs to write the skipped rows to another file or create some logging.
 
 ##### linesToSkip
-The number of lines to skip, this applies to each sheet in the Excel file.
+The number of lines to skip, this applies to each sheet in the Excel file, can be useful if the first couple of lines provide header information.
 
 ##### strict
 By default `true`. This controls wether or not an exception is thrown if the file doesn't exists, by default an exception will be thrown.
 
 ##### rowSetFactory
-For reading rows a `RowSet` abstraction is used. To construct a `RowSet` for the current `Sheet` a `RowSetFactory` is used. The `DefaultRowSetFactory` constructs a `DefaultRowSet` and `DefaultRowSetMetaData`. For construction of the latter a `ColumnNameExtractor` is needed. At the moment there are 2 implementations 
+For reading rows a `RowSet` abstraction is used. To construct a `RowSet` for the current `Sheet` a `RowSetFactory` is needed. The `DefaultRowSetFactory` constructs a `DefaultRowSet` and `DefaultRowSetMetaData`. For construction of the latter a `ColumnNameExtractor` is needed. At the moment there are 2 implementations
 
  - `StaticColumnNameExtractor` uses a preset list of column names.
  - `RowNumberColumnNameExtractor` (**the default**) reads a given row (default 0) to determine the column names of the current sheet
 
+## RowMappers
+Next to the default `ItemReader` implementations there are also 2 `RowMapper` implementations.
+
 ### PassThroughRowMapper
 Transforms the read row from excel into a `String[]`.
 
@@ -53,3 +55,6 @@ Uses a `BeanWrapper` to convert a given row into an object. Uses the column name
             <bean>
         </property>
     </bean>
+
+[1]: http://jexcelapi.sourceforge.net
+[2]: http://poi.apache.org
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