import { Command as $Command } from "@smithy/smithy-client";
import { MetadataBearer as __MetadataBearer } from "@smithy/types";
import { StartDocumentTextDetectionRequest, StartDocumentTextDetectionResponse } from "../models/models_0";
import { ServiceInputTypes, ServiceOutputTypes, TextractClientResolvedConfig } from "../TextractClient";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link StartDocumentTextDetectionCommand}.
 */
export interface StartDocumentTextDetectionCommandInput extends StartDocumentTextDetectionRequest {
}
/**
 * @public
 *
 * The output of {@link StartDocumentTextDetectionCommand}.
 */
export interface StartDocumentTextDetectionCommandOutput extends StartDocumentTextDetectionResponse, __MetadataBearer {
}
declare const StartDocumentTextDetectionCommand_base: {
    new (input: StartDocumentTextDetectionCommandInput): import("@smithy/smithy-client").CommandImpl<StartDocumentTextDetectionCommandInput, StartDocumentTextDetectionCommandOutput, TextractClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: StartDocumentTextDetectionCommandInput): import("@smithy/smithy-client").CommandImpl<StartDocumentTextDetectionCommandInput, StartDocumentTextDetectionCommandOutput, TextractClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/middleware-endpoint").EndpointParameterInstructions;
};
/**
 * <p>Starts the asynchronous detection of text in a document. Amazon Textract can detect lines of
 *          text and the words that make up a line of text.</p>
 *          <p>
 *             <code>StartDocumentTextDetection</code> can analyze text in documents that are in JPEG, PNG, TIFF, and PDF format. The
 *         documents are stored in an Amazon S3 bucket. Use <a>DocumentLocation</a> to specify the bucket name and file name
 *         of the document.
 *      </p>
 *          <p>
 *             <code>StartDocumentTextDetection</code> returns a job identifier
 *             (<code>JobId</code>) that you use to get the results of the operation. When text
 *          detection is finished, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS)
 *          topic that you specify in <code>NotificationChannel</code>. To get the results of the text
 *          detection operation, first check that the status value published to the Amazon SNS topic is
 *             <code>SUCCEEDED</code>. If so, call <a>GetDocumentTextDetection</a>, and
 *          pass the job identifier (<code>JobId</code>) from the initial call to
 *             <code>StartDocumentTextDetection</code>.</p>
 *          <p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html">Document Text Detection</a>.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { TextractClient, StartDocumentTextDetectionCommand } from "@aws-sdk/client-textract"; // ES Modules import
 * // const { TextractClient, StartDocumentTextDetectionCommand } = require("@aws-sdk/client-textract"); // CommonJS import
 * const client = new TextractClient(config);
 * const input = { // StartDocumentTextDetectionRequest
 *   DocumentLocation: { // DocumentLocation
 *     S3Object: { // S3Object
 *       Bucket: "STRING_VALUE",
 *       Name: "STRING_VALUE",
 *       Version: "STRING_VALUE",
 *     },
 *   },
 *   ClientRequestToken: "STRING_VALUE",
 *   JobTag: "STRING_VALUE",
 *   NotificationChannel: { // NotificationChannel
 *     SNSTopicArn: "STRING_VALUE", // required
 *     RoleArn: "STRING_VALUE", // required
 *   },
 *   OutputConfig: { // OutputConfig
 *     S3Bucket: "STRING_VALUE", // required
 *     S3Prefix: "STRING_VALUE",
 *   },
 *   KMSKeyId: "STRING_VALUE",
 * };
 * const command = new StartDocumentTextDetectionCommand(input);
 * const response = await client.send(command);
 * // { // StartDocumentTextDetectionResponse
 * //   JobId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param StartDocumentTextDetectionCommandInput - {@link StartDocumentTextDetectionCommandInput}
 * @returns {@link StartDocumentTextDetectionCommandOutput}
 * @see {@link StartDocumentTextDetectionCommandInput} for command's `input` shape.
 * @see {@link StartDocumentTextDetectionCommandOutput} for command's `response` shape.
 * @see {@link TextractClientResolvedConfig | config} for TextractClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>You aren't authorized to perform the action. Use the Amazon Resource Name (ARN)
 *             of an authorized user or IAM role to perform the operation.</p>
 *
 * @throws {@link BadDocumentException} (client fault)
 *  <p>Amazon Textract isn't able to read the document. For more information on the document
 *          limits in Amazon Textract, see <a>limits</a>.</p>
 *
 * @throws {@link DocumentTooLargeException} (client fault)
 *  <p>The document can't be processed because it's too large. The maximum document size for
 *          synchronous operations 10 MB. The maximum document size for asynchronous operations is 500
 *          MB for PDF files.</p>
 *
 * @throws {@link IdempotentParameterMismatchException} (client fault)
 *  <p>A <code>ClientRequestToken</code> input parameter was reused with an operation, but at
 *          least one of the other input parameters is different from the previous call to the
 *          operation. </p>
 *
 * @throws {@link InternalServerError} (server fault)
 *  <p>Amazon Textract experienced a service issue. Try your call again.</p>
 *
 * @throws {@link InvalidKMSKeyException} (client fault)
 *  <p> Indicates you do not have decrypt permissions with the KMS key entered, or the KMS key
 *         was entered incorrectly. </p>
 *
 * @throws {@link InvalidParameterException} (client fault)
 *  <p>An input parameter violated a constraint. For example, in synchronous operations,
 *        an <code>InvalidParameterException</code> exception occurs
 *       when neither of the <code>S3Object</code> or <code>Bytes</code> values are supplied in the <code>Document</code>
 *       request parameter.
 *        Validate your parameter before calling the API operation again.</p>
 *
 * @throws {@link InvalidS3ObjectException} (client fault)
 *  <p>Amazon Textract is unable to access the S3 object that's specified in the request.
 *          for more information, <a href="https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-access-control.html">Configure Access to Amazon S3</a>
 *          For troubleshooting information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/dev/troubleshooting.html">Troubleshooting Amazon S3</a>
 *          </p>
 *
 * @throws {@link LimitExceededException} (client fault)
 *  <p>An Amazon Textract service limit was exceeded. For example, if you start too many
 *          asynchronous jobs concurrently, calls to start operations
 *             (<code>StartDocumentTextDetection</code>, for example) raise a LimitExceededException
 *          exception (HTTP status code: 400) until the number of concurrently running jobs is below
 *          the Amazon Textract service limit. </p>
 *
 * @throws {@link ProvisionedThroughputExceededException} (client fault)
 *  <p>The number of requests exceeded your throughput limit. If you want to increase this limit,
 *          contact Amazon Textract.</p>
 *
 * @throws {@link ThrottlingException} (server fault)
 *  <p>Amazon Textract is temporarily unable to process the request. Try your call again.</p>
 *
 * @throws {@link UnsupportedDocumentException} (client fault)
 *  <p>The format of the input document isn't supported. Documents for operations can be in
 *          PNG, JPEG, PDF, or TIFF format.</p>
 *
 * @throws {@link TextractServiceException}
 * <p>Base exception class for all service exceptions from Textract service.</p>
 *
 *
 * @public
 */
export declare class StartDocumentTextDetectionCommand extends StartDocumentTextDetectionCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: StartDocumentTextDetectionRequest;
            output: StartDocumentTextDetectionResponse;
        };
        sdk: {
            input: StartDocumentTextDetectionCommandInput;
            output: StartDocumentTextDetectionCommandOutput;
        };
    };
}