chore: Fix spelling (#229)

Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com>
Co-authored-by: Paul-Cornell <paul@unstructured.io>

Author: jsoref

api-reference/api-services/accessing-unstructured-api.mdx

@@ -2,7 +2,7 @@
 title: Overview
 ---
 
-To process an indvidual file, you can choose from several available methods, including a direct `POST` request, Python code, and JavaScript/TypeScript code. 
+To process an individual file, you can choose from several available methods, including a direct `POST` request, Python code, and JavaScript/TypeScript code. 
 Whether you're using the Free Unstructured API, the Unstructured Serverless API, the Unstructured API on Azure/AWS, or your local deployment of the Unstructured API, the functionality is the same.
 
 Choose your preferred method:

api-reference/api-services/api-parameters.mdx

@@ -52,7 +52,7 @@ The following parameters only apply when a chunking strategy is specified. Other
 | `overlap_all` (_bool_)           | `overlapAll` (_boolean_)          | True to have an overlap also applied to "normal" chunks formed by combining whole elements. Use with caution, as this can introduce noise into otherwise clean semantic units. Default: none.                                                                                                                                                                                                  |
 | `similarity_threshold` (_float_) | `similarityThreshold` (_number_)  | Applies only when the chunking strategy is set to `by_similarity`. The minimum similarity text in consecutive elements must have to be included in the same chunk. Must be between 0.0 and 1.0, exclusive (0.01 to 0.99, inclusive). Default: 0.5.                                                                                                                                             |
 
-The following parameters are specific to the Python and Javascript/TypeScript clients and are not sent to the server. [Learn more](/api-reference/api-services/sdk-python#page-splitting).
+The following parameters are specific to the Python and JavaScript/TypeScript clients and are not sent to the server. [Learn more](/api-reference/api-services/sdk-python#page-splitting).
 
 | POST, Python                          | JavaScript/TypeScript                 | Description                                                                                                                                                                                                                                    |
 |---------------------------------------|---------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|

api-reference/api-services/aws.mdx

@@ -60,7 +60,7 @@ You will establish the foundational network structure for deploying the Unstruct
 
         *   Select an **Availability Zone**.
 
-        *   Specify the **IPv4 CIDR block** (for exampple, `10.0.0.0/16`).
+        *   Specify the **IPv4 CIDR block** (for example, `10.0.0.0/16`).
 
         *   Specify the **IPv4 subnet CIDR block** (for example, `10.0.1.0/24`).
 

api-reference/api-services/azure.mdx

@@ -9,7 +9,7 @@ Follow these steps to deploy the Unstructured API service into your Azure accoun
         Go to [https://portal.azure.com](https://portal.azure.com/).
     </Step>
     <Step title="Access the Azure Marketplace">
-        Go to the [Unstructured Data Prepocessing - Customer Hosted API](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/unstructured1691024866136.customer_api_v1?tab=Overview/) offering in the Azure Marketplace.
+        Go to the [Unstructured Data Preprocessing - Customer Hosted API](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/unstructured1691024866136.customer_api_v1?tab=Overview/) offering in the Azure Marketplace.
 
         ![Azure Marketplace](/img/api/Azure_Step2.png)
     </Step>
@@ -98,8 +98,8 @@ Follow these steps to deploy the Unstructured API service into your Azure accoun
            ```
 
         8. Now run the container again, setting the environment variables at the same time: Run the following command: `sudo docker image ls`.
-        9. Note the `RESPOSITORY` and `TAG` value for the Docker image.
-        10. Run the following command, replacing `<REPOSITORY>` and `<TAG>` with the `RESPOSITORY` and `TAG` values for the Docker image, and replacing 
+        9. Note the `REPOSITORY` and `TAG` value for the Docker image.
+        10. Run the following command, replacing `<REPOSITORY>` and `<TAG>` with the `REPOSITORY` and `TAG` values for the Docker image, and replacing 
             `<VAR1>=<value1>`, `<VAR2>=<value2>` and so on with the environment variable name and value pairs:
 
             ```bash

api-reference/api-services/chunking.mdx

@@ -23,7 +23,7 @@ import SharedChunkingStrategyBasic from '/snippets/concepts/chunking-strategy-ba
 
 <SharedChunkingStrategyBasic/>
 
-import SharedChunkingStrategyByTitle from '/snippets/concepts/chunking-stategy-by-title.mdx';
+import SharedChunkingStrategyByTitle from '/snippets/concepts/chunking-strategy-by-title.mdx';
 
 <SharedChunkingStrategyByTitle/>
 

api-reference/api-services/overview.mdx

@@ -47,9 +47,9 @@ Unstructured Serverless API services provide the following benefits beyond the [
 
 ## Supported file types
 
-import SupportedFileTpes from '/snippets/general-shared-text/supported-file-types.mdx';
+import SupportedFileTypes from '/snippets/general-shared-text/supported-file-types.mdx';
 
-<SupportedFileTpes />
+<SupportedFileTypes />
 
 ## Data ingestion
 

api-reference/api-services/saas-api-development-guide.mdx

@@ -14,9 +14,9 @@ To call the Unstructured Serverless API, you need an API key and API URL:
 5. To get your API key, click the copy icon in the **Actions** column for your API key. Store your copied API key in a secure location. Do not share it with others.
 6. To get your API URL, click the copy icon next to the URL next to **API URL**. Store your copied API URL in a secure location. Do not share it with others.
 
-import SeverlessKeyNoFreeURL from '/snippets/general-shared-text/serverless-api-key-no-free-access.mdx';
+import ServerlessKeyNoFreeURL from '/snippets/general-shared-text/serverless-api-key-no-free-access.mdx';
 
-<SeverlessKeyNoFreeURL />
+<ServerlessKeyNoFreeURL />
 
 [Try the quickstart](#quickstart).
 

api-reference/api-services/supported-file-types.mdx

@@ -2,6 +2,6 @@
 title: Supported file types
 ---
 
-import SupportedFileTpes from '/snippets/general-shared-text/supported-file-types.mdx';
+import SupportedFileTypes from '/snippets/general-shared-text/supported-file-types.mdx';
 
-<SupportedFileTpes />
+<SupportedFileTypes />

api-reference/best-practices/speed-up-large-files-batches.mdx

@@ -2,7 +2,7 @@
 title: Speed up processing of large files and batches
 ---
 
-When you use Unstructued API services, here are some techniques that you can try to help speed up the processing of large files and large batches of files.
+When you use Unstructured API services, here are some techniques that you can try to help speed up the processing of large files and large batches of files.
 
 - Choose your partitioning strategy wisely. For example, if you have simple PDFs that don't have images and tables, you might be able to use the `fast` strategy. Try the `fast` strategy on a few of your documents before you try using the `hi_res` strategy. [Learn more](/api-reference/api-services/partitioning).
 - For processing large numbers of documents, use [ingestion](/ingestion/overview) and [add CPUs](#adding-cpus).

api-reference/how-to/choose-partitioning-strategy.mdx

@@ -44,7 +44,7 @@ See [Changing partition strategy for a PDF](/api-reference/api-services/examples
 
 Setting `--strategy` or `strategy` to `auto` leaves the decision up to Unstructured on a file-by-file basis about which partitioning strategy to use. Specifically:
 
-- If the file is an image, the `hi_res` stategy is used for that file. The `layout_v1.0.0` high-resolution object detection model is used.
+- If the file is an image, the `hi_res` strategy is used for that file. The `layout_v1.0.0` high-resolution object detection model is used.
 - If the file is a PDF, the local processing logic or Unstructured tries to detect whether there are any embedded tables or images in that file.
 
   - If no embedded tables or images are detected, the `fast` strategy is used for that file. No high-resolution object detection model is used.