---
title: + New and improved Transkribus How to Guides! - READ-COOP
description: Read the Post + New and improved Transkribus How to Guides! in our Blog.
image: https://blog.transkribus.org/hubfs/Imported_Blog_Media/001_631_001-1024x683-4.jpg
---

![](https://blog.transkribus.org/hubfs/Imported_Blog_Media/001_631_001-1024x683-4.jpg)

# + New and improved Transkribus How to Guides!

![READ-COOP](https://7528315.fs1.hubspotusercontent-na1.net/hub/7528315/hubfs/raw_assets/public/mV0_d-cms-elevate-theme_hubspot/elevate/images/avatar-placeholder.jpg?width=48&height=48&name=avatar-placeholder.jpg)

 READ-COOP

February 15, 2018

We’ve given the Transkribus How to Guides a reboot!  New and improved guidelines are here to help Transkribus users achieve the automated transcription and full-text search of their collections.  These guidelines reflect the functionalities of the latest version of Transkribus, with fresh features like improved line segmentation and powerful searching technology.  All the guides can be found on the [Transkribus wiki](https://transkribus.eu/wiki/index.php/How_to_Guides).

If you’re new to Transkribus, and want to try creating training data for Automated Text Recognition, you can start with our Simple How to Guide.

- [How To Transcribe Documents with Transkribus – Simple Mode](https://transkribus.eu/wiki/images/a/ad/HowToTranscribe_SimpleMode.pdf)

Whilst information laid out in tables and forms may look neat to the human eye, it can constitute problems when it comes to the Automated Text Recognition of historical documents.  Our new Tables How to Guide can help!

- [How To Process Tables in Transkribus](https://transkribus.eu/wiki/images/1/14/HowToProcessTables.pdf)

![](https://blog.transkribus.org/hs-fs/hubfs/Imported_Blog_Media/001_631_001-1024x683-4.jpg?width=720&height=480&name=001_631_001-1024x683-4.jpg) ![](https://blog.transkribus.org/hs-fs/hubfs/Imported_Blog_Media/001_631_001-1024x683-4.jpg?width=720&height=480&name=001_631_001-1024x683-4.jpg)

 Image: UCL Special Collections, Bentham Papers, box i, fol. 631

Maybe you already have existing transcripts at your archive or as part of a research project.  If so, you can use these transcripts to train a model to recognise the writing in your collection.

- [How To Use Existing Transcriptions to train a HTR model](https://transkribus.eu/wiki/images/6/6f/HowToUseExistingTranscriptions.pdf)

Once you have trained a model to recognise the documents in your collection, the Keyword Spotting tool in Transkribus allows you to conduct powerful full-text searches.  Find out more about Keyword Spotting in our guide.

- [How To Transcribe Documents with Transkribus – Keyword Spotting](https://transkribus.eu/wiki/images/1/1b/HowToTranscribe_Keyword_Search.pdf)

Finally, if you are more interested in creating rich transcripts in Transkribus as part of a scholarly edition, our Advanced How to Guide is the one for you.

- [How To Transcribe Documents with Transkribus – Advanced Mode](https://transkribus.eu/wiki/images/d/db/HowToTranscribe_AdvancedMode.pdf)

We are working hard on more user guides to help Transkribus users work with the platform as efficiently as possible.  In the meantime, we welcome any feedback by [email](mailto:email@transkribus.eu).

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## Keep reading

[![](https://blog.transkribus.org/hs-fs/hubfs/Featured%20image_multilingual%20models%20in%20Transkribus.png?width=1280&height=720&name=Featured%20image_multilingual%20models%20in%20Transkribus.png)

Research Text recognition models

### Breaking the language barrier: 3 multilingual Transkribus research projects

](https://blog.transkribus.org/en/multilingual-ai-text-recognition-model-transkribus?hsLang=en)

[![](https://blog.transkribus.org/hs-fs/hubfs/Text-Titan-II.jpg?width=2406&height=1632&name=Text-Titan-II.jpg)

### Introducing Text Titan II

](https://blog.transkribus.org/en/introducing-text-titan-ii?hsLang=en)

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