export - Converting a notebook to plain text programmatically

It is possible to export a notebook to plain text format (practically just extracting all the text from it and discarding formatting) using the File -> Save As... menu item.

How can a notebook be exported to plain text programmatically, without making use of any GUI?

With all the other document formats, such as PDF, HTML, NB, LaTeX, etc. it is possible to simply use Export:

ExportString[NotebookGet@EvaluationNotebook[], "LaTeX"]

This does not work with the export format "Text" though. It simply exports the notebook expression in a Mathematica expression format. Is there an export format which will export the contents of the notebook to plain text instead of the expression representing it?

I would prefer a method that can produce an in-memory string as well (just like ExportString), and can avoid writing on disk.

EDIT: Based on this answer, I found First@FrontEndExecute[ FrontEnd`ExportPacket[NotebookGet@InputNotebook[], "InputText"]]. I'd prefer something documented though, if it exists.

Answer

Saving is done by the front end, which you can exploit programatically by using FrontEndExecute. I think this is what you need:

nb=InputNotebook[];
fn=FileNameJoin[{"output.txt"}];
FrontEndExecute[FrontEndToken[nb,"Save",{fn,"Text"}]]

Edit: Of course you can also save it as a package by replacing "Text" with "Package".

Comments

plotting - Plot 4D data with color as 4th dimension

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plotting - Filling between two spheres in SphericalPlot3D

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plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....

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