diff --git a/application/parser/file/html_parser.py b/application/parser/file/html_parser.py
index f6f885fc..7c192b6a 100644
--- a/application/parser/file/html_parser.py
+++ b/application/parser/file/html_parser.py
@@ -69,10 +69,10 @@ class HTMLParser(BaseParser):
                 Chunks.append([])
             Chunks[-1].append(isd_el['text'])
 
-        # Removing all the chunks with sum of lenth of all the strings in the chunk < 25
+        # Removing all the chunks with sum of length of all the strings in the chunk < 25
         # TODO: This value can be an user defined variable
         for chunk in Chunks:
-            # sum of lenth of all the strings in the chunk
+            # sum of length of all the strings in the chunk
             sum = 0
             sum += len(str(chunk))
             if sum < 25:
diff --git a/application/parser/file/rst_parser.py b/application/parser/file/rst_parser.py
index 4bd0e6f4..633ec844 100644
--- a/application/parser/file/rst_parser.py
+++ b/application/parser/file/rst_parser.py
@@ -27,7 +27,7 @@ class RstParser(BaseParser):
             remove_interpreters: bool = True,
             remove_directives: bool = True,
             remove_whitespaces_excess: bool = True,
-            # Be carefull with remove_characters_excess, might cause data loss
+            # Be careful with remove_characters_excess, might cause data loss
             remove_characters_excess: bool = True,
             **kwargs: Any,
     ) -> None:
diff --git a/docs/pages/Deploying/Quickstart.md b/docs/pages/Deploying/Quickstart.md
index a022e884..54a608ad 100644
--- a/docs/pages/Deploying/Quickstart.md
+++ b/docs/pages/Deploying/Quickstart.md
@@ -1,7 +1,7 @@
 ## Launching Web App
 Note: Make sure you have docker installed
 
-1. Open dowload this repository with `git clone https://github.com/arc53/DocsGPT.git`
+1. Open download this repository with `git clone https://github.com/arc53/DocsGPT.git`
 2. Create .env file in your root directory and set your `OPENAI_API_KEY` with your openai api key
 3. Run `docker-compose build && docker-compose up`
 4. Navigate to `http://localhost:5173/`
diff --git a/docs/pages/Developing/API-docs.md b/docs/pages/Developing/API-docs.md
index ff6d0530..4109eb10 100644
--- a/docs/pages/Developing/API-docs.md
+++ b/docs/pages/Developing/API-docs.md
@@ -2,7 +2,7 @@ App currently has two main api endpoints:
 
 ### /api/answer 
 Its a POST request that sends a JSON in body with 4 values. Here is a JavaScript fetch example
-It will recieve an answer for a user provided question
+It will receive an answer for a user provided question
 
 ```js
 // answer (POST http://127.0.0.1:5000/api/answer)
@@ -29,7 +29,7 @@ In response you will get a json document like this one:
 ```
 
 ### /api/docs_check
-It will make sure documentation is loaded on a server (just run it everytime user is switching between libraries (documentations)
+It will make sure documentation is loaded on a server (just run it every time user is switching between libraries (documentations)
 Its a POST request that sends a JSON in body with 1 value. Here is a JavaScript fetch example
 
 ```js
@@ -104,7 +104,7 @@ fetch("http://localhost:5001/api/task_status?task_id=b2d2a0f4-387c-44fd-a443-e4f
 ```
 
 Responses:
-There are two types of repsonses:
+There are two types of responses:
 1. while task it still running, where "current" will show progress from 0 - 100
 ```json
 {
diff --git a/docs/pages/Guides/How-to-use-different-LLM.md b/docs/pages/Guides/How-to-use-different-LLM.md
index fb7c4e01..07c0346d 100644
--- a/docs/pages/Guides/How-to-use-different-LLM.md
+++ b/docs/pages/Guides/How-to-use-different-LLM.md
@@ -24,9 +24,9 @@ Options:
 LLM_NAME (openai, manifest, cohere, Arc53/docsgpt-14b, Arc53/docsgpt-7b-falcon)  
 EMBEDDINGS_NAME (openai_text-embedding-ada-002, huggingface_sentence-transformers/all-mpnet-base-v2, huggingface_hkunlp/instructor-large, cohere_medium)
 
-Thats it!
+That's it!
 
 ### Hosting everything locally and privately (for using our optimised open-source models)
 If you are working with important data and dont want anything to leave your premises.
 
-Make sure you set SELF_HOSTED_MODEL as true in you .env variable and for your LLM_NAME you can use anything thats on Huggingface 
+Make sure you set SELF_HOSTED_MODEL as true in you .env variable and for your LLM_NAME you can use anything that's on Huggingface 
diff --git a/scripts/parser/file/html_parser.py b/scripts/parser/file/html_parser.py
index 523d09ec..dfe2f8f5 100644
--- a/scripts/parser/file/html_parser.py
+++ b/scripts/parser/file/html_parser.py
@@ -69,10 +69,10 @@ class HTMLParser(BaseParser):
                 Chunks.append([])
             Chunks[-1].append(isd_el['text'])
 
-        # Removing all the chunks with sum of lenth of all the strings in the chunk < 25
+        # Removing all the chunks with sum of length of all the strings in the chunk < 25
         # TODO: This value can be a user defined variable
         for chunk in Chunks:
-            # sum of lenth of all the strings in the chunk
+            # sum of length of all the strings in the chunk
             sum = 0
             sum += len(str(chunk))
             if sum < 25:
diff --git a/scripts/parser/file/rst_parser.py b/scripts/parser/file/rst_parser.py
index f8feff70..887571b5 100644
--- a/scripts/parser/file/rst_parser.py
+++ b/scripts/parser/file/rst_parser.py
@@ -27,7 +27,7 @@ class RstParser(BaseParser):
             remove_interpreters: bool = True,
             remove_directives: bool = True,
             remove_whitespaces_excess: bool = True,
-            # Be carefull with remove_characters_excess, might cause data loss
+            # Be careful with remove_characters_excess, might cause data loss
             remove_characters_excess: bool = True,
             **kwargs: Any,
     ) -> None: