From 2ec74fea449286b7b59845332747e014a8ceb0dd Mon Sep 17 00:00:00 2001
From: Asif Mehmood <55317570+AsifMehmood97@users.noreply.github.com>
Date: Sun, 11 May 2025 00:43:40 +0500
Subject: [PATCH] docs: update DoctranPropertyExtractor import path and fix
 typo (#31177)

**Description:**
Updated the import path for `DoctranPropertyExtractor` from
`langchain_community.document_loaders` to
`langchain_community.document_transformers` in multiple locations to
reflect recent package structure changes. Also corrected a minor typo in
the word "variable".

**Issue:**
N/A

**Dependencies:**
N/A

**LinkedIn handle:** For shout out if announced [Asif
Mehmood](https://www.linkedin.com/in/asifmehmood1997/).
---
 docs/docs/integrations/providers/doctran.mdx  | 12 ++++++------
 docs/docs/integrations/providers/friendli.mdx |  6 +++---
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/docs/docs/integrations/providers/doctran.mdx b/docs/docs/integrations/providers/doctran.mdx
index c85844766e1..4710fa497ee 100644
--- a/docs/docs/integrations/providers/doctran.mdx
+++ b/docs/docs/integrations/providers/doctran.mdx
@@ -1,8 +1,8 @@
 # Doctran
 
->[Doctran](https://github.com/psychic-api/doctran) is a python package. It uses LLMs and open-source 
-> NLP libraries to transform raw text into clean, structured, information-dense documents 
-> that are optimized for vector space retrieval. You can think of `Doctran` as a black box where 
+>[Doctran](https://github.com/psychic-api/doctran) is a python package. It uses LLMs and open-source
+> NLP libraries to transform raw text into clean, structured, information-dense documents
+> that are optimized for vector space retrieval. You can think of `Doctran` as a black box where
 > messy strings go in and nice, clean, labelled strings come out.
 
 
@@ -19,19 +19,19 @@ pip install doctran
 See a [usage example for DoctranQATransformer](/docs/integrations/document_transformers/doctran_interrogate_document).
 
 ```python
-from langchain_community.document_loaders import DoctranQATransformer
+from langchain_community.document_transformers import DoctranQATransformer
 ```
 ### Property Extractor
 
 See a [usage example for DoctranPropertyExtractor](/docs/integrations/document_transformers/doctran_extract_properties).
 
 ```python
-from langchain_community.document_loaders import DoctranPropertyExtractor
+from langchain_community.document_transformers import DoctranPropertyExtractor
 ```
 ### Document Translator
 
 See a [usage example for DoctranTextTranslator](/docs/integrations/document_transformers/doctran_translate_document).
 
 ```python
-from langchain_community.document_loaders import DoctranTextTranslator
+from langchain_community.document_transformers import DoctranTextTranslator
 ```
diff --git a/docs/docs/integrations/providers/friendli.mdx b/docs/docs/integrations/providers/friendli.mdx
index 2e8fda9ade2..b988fdbeb07 100644
--- a/docs/docs/integrations/providers/friendli.mdx
+++ b/docs/docs/integrations/providers/friendli.mdx
@@ -1,6 +1,6 @@
 # Friendli AI
 
-> [FriendliAI](https://friendli.ai/) enhances AI application performance and optimizes 
+> [FriendliAI](https://friendli.ai/) enhances AI application performance and optimizes
 > cost savings with scalable, efficient deployment options, tailored for high-demand AI workloads.
 
 ## Installation and setup
@@ -11,8 +11,8 @@ Install the `friendli-client` python package.
 pip install -U langchain_community friendli-client
 ```
 
-Sign in to [Friendli Suite](https://suite.friendli.ai/) to create a Personal Access Token, 
-and set it as the `FRIENDLI_TOKEN` environment variabzle.
+Sign in to [Friendli Suite](https://suite.friendli.ai/) to create a Personal Access Token,
+and set it as the `FRIENDLI_TOKEN` environment variable.
 
 
 ## Chat models