A API de Extrator de Texto 2D de PDF é uma ferramenta avançada projetada para facilitar a conversão de documentos PDF para formatos de texto estruturados em 2D. Esse processo é crucial para usuários que precisam extrair dados de documentos PDF e transformá-los em um formato acessível e manipulável. Através desta API, desenvolvedores e usuários podem simplificar a tarefa de analisar e utilizar informações contidas em arquivos PDF, que tradicionalmente podem ser complicados devido à sua natureza fixa e não editável. A API é otimizada para conversões rápidas e precisas de arquivos PDF para texto 2D. Ao converter o conteúdo PDF, a API mantém a estrutura e formatação do documento original, permitindo uma representação fiel do conteúdo no formato de texto. Uma das grandes vantagens dessa API é sua capacidade de interpretar e preservar o layout estrutural do texto, como tabelas, colunas e seções. Isso é especialmente útil ao trabalhar com documentos que contêm dados tabulares ou listas detalhadas. A API facilita a extração de informações específicas do documento PDF.
Recebe um arquivo PDF e retorna texto estruturado em 2D.
Automação de Faturas:
Usuários podem utilizar a API para extrair dados de faturas em formato PDF e carregá-los automaticamente em sistemas de contabilidade ou gestão financeira, reduzindo o trabalho manual e erros de entrada de dados.
Análise de Relatórios Financeiros:
Analistas financeiros podem converter relatórios PDF em texto estruturado para facilitar a análise de tendências, comparação de dados e geração de relatórios personalizados sem a necessidade de reinserção manual de informações.
Digitalização de Documentos Legais:
Escritórios de advocacia podem converter contratos e outros documentos legais em texto 2D para facilitar a busca por termos específicos, análise de cláusulas e integração em bases de dados jurídicas.
Extração de Dados de Pesquisas:
Empresas que realizam pesquisas em formato PDF podem usar a API para extrair respostas e dados, organizando-os em um formato estruturado que facilita a análise e geração estatística.
Transformação de Artigos Acadêmicos:
Pesquisadores e acadêmicos podem converter artigos de revistas e outros trabalhos de pesquisa em texto estruturado, facilitando a busca, citação e análise de informações relevantes.
Plano Básico: 500 requisições por minuto.
Plano Pro: 500 requisições por minuto.
Plano Pro Plus: 500 requisições por minuto.
Plano Premium: 500 requisições por minuto.
Plano Elite: 500 requisições por minuto.
Plano Ultimate: 1.000 requisições por minuto
Para usar este ponto final você deve indicar um texto no parâmetro texto
Por exemplo: Fazer upload de um PDF convertido para base64
Limitação Atual
PDF é um tipo de formato de representação gráfica, texto simples nem sempre será possível de combinar ou até mesmo apresentar os textos como o Leitor de PDF. O algoritmo por trás das cenas faz o melhor para considerar múltiplos fatores para equilibrar a aparência geral no espaço visual 2D.
Imagem ainda não é manipulada
Curva e linha diagonal ainda não são manipuladas
Textos da direita para a esquerda e de cima para baixo ainda não são manipulados
PDF EXT - Recursos do endpoint
| Objeto | Descrição |
|---|---|
Corpo da requisição |
[Obrigatório] Json |
<<==[[Page 1]]==>>
Comparison from the Year Ended December 31, 2022 to the Year Ended December 31, 2023
Year Ended December 31, 2023
----------------------------------------------------------------------------------------------
% Change from Prior Period
--------------------------------------------------------------
Year Ended December 31,
---------------------------------- Constant Less Constant
Less FX Currency As Hedging Less FX Currency
2022 2023 Effect Revenues Reported Effect Effect Revenues
---------------- ---------------- --------------- --------------- -------------- --------------- --------------- ---------------
United States
$ 134,814 $ 146,286 $ 0 $ 146,286 9 % 0 % 9 %
EMEA 82,062 91,038 460 90,578 11 % 1 % 10 %
APAC 47,024 51,514 (1,759) 53,273 10 % (3) % 13 %
Other Americas 16,976 18,320 (654) 18,974 8 % (4) % 12 %
---------------- ---------------- --------------- ---------------
Revenues, excluding hedging effect 280,876 307,158 (1,953) 309,111 9 % (1) % 10 %
Hedging gains (losses) 1,960 236
Total revenues (1) ---------------- ---------------- ---------------
$ 282,836 $ 307,394 $ 309,111 9 % 0 % (1) % 10 %
---------------- ---------------- ---------------
---------------- ---------------- ---------------
(1)
Total constant currency revenues of $309.1 billion for the year ended December 31, 2023 increased $28.2 billion compared to $280.9 billion in
revenues, excluding hedging effect for the year ended December 31, 2022.
Total Revenues — Prior Year Comparative Periods
Comparison from the Quarter Ended December 31, 2021 to the Quarter Ended December 31, 2022
Quarter Ended December 31, 2022
----------------------------------------------------------------------------------------------
% Change from Prior Period
Quarter Ended December
Constant -------------------------------------------------------------
31, Less Constant
---------------------------------- Less FX Currency As Hedging Less FX Currency
2021 2022 Effect Revenues Reported Effect Effect Revenues...
curl --location --request POST 'https://zylalabs.com/api/4854/pdf+to+2d+text+extractor+api/6086/pdf+ext' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"output": "PLAIN",
"scaleX": 0.26,
"scaleY": 0.15,
"pageNos": [
1
],
"file": "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"
}'
| Cabeçalho | Descrição |
|---|---|
Authorization
|
[Obrigatório] Deve ser Bearer access_key. Veja "Sua chave de acesso à API" acima quando você estiver inscrito. |
Sem compromisso de longo prazo. Faça upgrade, downgrade ou cancele a qualquer momento. O teste gratuito inclui até 50 requisições.
Para usar esta API você deve indicar a URL de um nome de domínio
A API Extrator de Texto 2D de PDF converte documentos PDF em texto 2D estruturado preservando o layout e permitindo a extração de dados
Existem diferentes planos que atendem a todos, incluindo uma avaliação gratuita para um pequeno número de solicitações, mas sua taxa é limitada para prevenir abusos do serviço
Zyla oferece uma ampla variedade de métodos de integração para quase todas as linguagens de programação Você pode usar esses códigos para integrar ao seu projeto conforme necessário
A API retorna texto estruturado em 2D metadados de processo e possíveis erros ou avisos encontrados durante a conversão
A API retorna texto estruturado em 2D extraído de documentos PDF preservando o layout incluindo tabelas colunas e seções permitindo fácil manipulação e análise de dados
Os dados de resposta estão organizados em um formato estruturado, geralmente incluindo marcadores de página e o texto extraído, mantendo o layout do documento original para clareza e usabilidade
O parâmetro principal é o arquivo PDF que deve ser carregado em formato base64 Os usuários podem personalizar solicitações especificando opções adicionais para extração de texto se disponível
A API pode extrair vários tipos de informações incluindo texto de faturas relatórios financeiros documentos legais respostas a questionários e artigos acadêmicos todos estruturados em um formato 2D
Os usuários podem analisar o texto estruturado em busca de informações específicas integrá-las a bancos de dados ou realizar análises de dados tornando mais fácil gerar relatórios ou realizar novas pesquisas
Os dados são extraídos diretamente dos documentos PDF fornecidos pelos usuários A API processa esses dados usando algoritmos avançados para garantir uma extração precisa enquanto preserva o layout original
A precisão dos dados é mantida por meio de algoritmos sofisticados que analisam a estrutura e o conteúdo do PDF, garantindo que o texto extraído se assemelhe muito ao formato e layout originais
Casos de uso típicos incluem automação do processamento de faturas análise de relatórios financeiros digitalização de documentos legais para cláusulas específicas extração de dados de pesquisas e conversão de artigos acadêmicos para citação e análise mais fácil
Nível de serviço:
91%
Tempo de resposta:
2.513ms
Nível de serviço:
100%
Tempo de resposta:
0ms
Nível de serviço:
100%
Tempo de resposta:
1.945ms
Nível de serviço:
100%
Tempo de resposta:
18ms
Nível de serviço:
100%
Tempo de resposta:
1.971ms
Nível de serviço:
100%
Tempo de resposta:
3.168ms
Nível de serviço:
100%
Tempo de resposta:
1.429ms
Nível de serviço:
100%
Tempo de resposta:
650ms
Nível de serviço:
100%
Tempo de resposta:
1.812ms
Nível de serviço:
100%
Tempo de resposta:
1.716ms
Nível de serviço:
100%
Tempo de resposta:
20.003ms
Nível de serviço:
100%
Tempo de resposta:
20.003ms
Nível de serviço:
100%
Tempo de resposta:
5.878ms
Nível de serviço:
100%
Tempo de resposta:
11.821ms
Nível de serviço:
100%
Tempo de resposta:
297ms
Nível de serviço:
100%
Tempo de resposta:
620ms
Nível de serviço:
100%
Tempo de resposta:
1.267ms
Nível de serviço:
100%
Tempo de resposta:
13.504ms
Nível de serviço:
100%
Tempo de resposta:
10.604ms
Nível de serviço:
100%
Tempo de resposta:
12.216ms
