The best email parsing software in 2025

Su bandeja de entrada contiene más que solo correos electrónicos: está llena de datos. Esto es particularmente cierto si usted dirige un negocio. Tal vez sus clientes futuribles lleguen por correo electrónico, tal vez sea ahí donde terminan ciertas facturas o tal vez sea ahí donde van todos los resultados de su encuesta de incorporación.

But you can't do much with this data if it stays buried deep in your inbox among the newsletters, shipping notifications, and spam. Receipts are more useful in your bookkeeping software and contacts are more useful in your CRM, for example. While you could manually copy all that information over, especially if there are only a handful of relevant emails, it's still an annoying bit of work—and definitely doesn't scale to dozens or even hundreds of emails a day.

This is where email parsing tools come in. These tools do the work for you, grabbing information from your inbox and organizing it in such a way that other apps can make use of it. Email parsing apps are distinct from powerful email clients like Superhuman and Shortwave that make it easy to find and sort data in your inbox—instead, they're designed to get data from your inbox to somewhere more actionable. Even the best email apps leave most data sitting buried somewhere in your mail.

For years, email parsers were kind of awkward to use. You had to manually create rules using things like regular expressions, if-this-then-that logic loops, and other kinds of code and pseudocode. If you could fine-tune things, amazing—until the format of the emails you were scraping changed and you had to update things all over again. But over the past few years, there's been a big technology shift: now you can parse emails using AI.

Y este es un cambio realmente grande. Los modelos de lenguaje grandes son lo suficientemente flexibles como para que, cuando le digas a alguien que tome la fecha de un correo electrónico y la formatee de una manera particular, lo hará, independientemente de cómo aparezca la fecha en el correo electrónico. Aún quedan algunos ajustes pendientes para que todo funcione correctamente, pero las herramientas de análisis de correo electrónico ya no son incómodas máquinas de Rube Goldberg unidas mediante reglas extrañamente específicas. 

Entonces, ya sea que simplemente tenga curiosidad acerca de las herramientas de análisis de correo electrónico o esté buscando actualizar a una herramienta mucho más simple, aquí están las mejores aplicaciones de análisis de correo electrónico disponibles en este momento. 

El mejor software de análisis de correo electrónico

• Zapier for getting email data into your other apps

• Airparser for an AI-powered email parser

• Parsio para un analizador de correo electrónico multipropósito

• Analizador para usuarios avanzados y para analizar archivos adjuntos de correo electrónico

¿Qué hace que un software de análisis de correo electrónico sea el mejor?

There are only a dozen or so true email parsers available, so I tested every one I could get my hands on and selected the best. I've been testing and reviewing automation software for well over a decade, so I have a lot of experience evaluating apps like this. The best email parsing apps meet the following criteria (and some go above and beyond):

• They extract specific information from your email and its attachments. The best apps use AI models to detect relevant information, though you can tweak things using custom rules and templates. Accuracy is important here as you need your email parser to reliably grab the data you want every time.

• They're easy to set up and use. Email scraping services used to be pretty tricky to set up. You had to manually create a series of rules that would extract the data you wanted from an email. Now though, AI can do a huge amount of the heavy lifting for you. Even compared to a few years ago, the email parsing tools available are genuinely easy to use. It's a big change, and it's really shaken up the list.

• They put that data where you want it. Email parsing apps are about getting data from your inbox to somewhere more useful. You want your receipts sent straight to your accounting software, or your new clients' contact details added to your CRM and mailing list automatically. 

• Son agradables de usar. Las herramientas especializadas, como los analizadores de correo electrónico, a menudo se crean teniendo en mente a un usuario final técnico, lo que significa que muchas aplicaciones escatiman en aspectos como la incorporación y una interfaz de usuario agradable. Si bien no son esenciales, los consejos útiles, los tutoriales y una interfaz inofensiva hacen que los mejores analizadores de correo electrónico sean un poco más agradables de usar. Ciertamente no son aplicaciones para todos, pero idealmente deberían ser aplicaciones para cualquiera.

En algunos casos, encontré aplicaciones que ofrecían funciones y calidad similares a diferentes precios y, en esos casos, preferí la opción más asequible o más fácil de usar.

¿Por qué analizar el correo electrónico? Analizadores de correo electrónico frente a reglas de correo electrónico

La mayoría de los servicios de correo electrónico, como Gmail y Outlook, tienen algún tipo de sistema de reglas automatizadas que puedes usar para filtro y ordenar correos electrónicos. La diferencia entre los analizadores de correo electrónico dedicados y estas reglas se reduce a una distinción clave: Gmail y Outlook pueden ordenar sus correos electrónicos según su contenido, mientras que un analizador de correo electrónico puede ordenar directamente el contenido.

Por ejemplo, con Gmail, puedes etiquetar automáticamente todos los correos electrónicos que contengan información de facturación, para poder enviarlos a tu contador al final del año. Con un analizador de correo electrónico, puede extraer la fecha de envío, el número de factura y la fecha de pago; y, con la ayuda de una aplicación como Zapier, agregarlo a una hoja de cálculo y enviarlo automáticamente a su contable el segundo martes de cada mes.

Muchas personas probablemente estén conformes con la automatización incorporada de su servicio de correo electrónico, pero si maneja un negocio, necesita procesar los datos que realmente están en sus correos electrónicos, simplemente tiene un gran volumen de correos electrónicos que deben procesarse o realmente le gusta automatizar este tipo de cosas, entonces un analizador de correo electrónico es definitivamente para usted. 

Los mejores analizadores de correo electrónico de un vistazo

Best email parser for getting email data into your other apps

Zapier (Web)

Zapier Pros:

• Option to use structured parsing or an AI agent

• Easy to set up and use either way

Email Parser by Zapier Cons:

• Not a dedicated email parser

This is a Zapier product in a Zapier blog post, so I understand if you're skeptical about my ability to be neutral. But if your goal is to get data out of your inbox and into all the other apps you use at work, Zapier has a couple options that make it easy.

Get started with Email Parser by Zapier, and you can set up as many mailboxes as you want, each with its own @robot.zapier.com email address. You can forward emails to that address, either manually or using something like Gmail's filter system. Send a few sample emails, then highlight and name the information you'd like to scrape from future emails. You won't find many advanced features here—you can't scrape the contents of email attachments, for example. Then you'll set up a Zap, Zapier's term for an automated workflow, which is what will send that information to any other app you want—you can choose from thousands of apps, or even send the contents off to be handled by an AI like ChatGPT.

Alternatively, if you want to leave the decisions in the hands of AI, you can do this all using natural language with Zapier Agents. Your agent can watch your inbox for whatever emails you're looking for (based on sender, label, or any other feature), and then pull out the information you need. Once it has that information, it can send it to 8,000+ other apps, so you can get data from your inbox into a spot where it's actionable.

A few examples of what you can do with the scraped contents: send information from your email to a spreadsheet, add new contacts to a Mailchimp list, or create a Google Calendar event based on the specified time and date in the email. Zapier is an AI orchestration platform, so you can build complex systems that run on their own. Learn more in the guide to Email by Zapier and the guide to Zapier Agents, or get started with one of these pre-made templates.

Zapier pricing: Free plan available; paid plans from $19.99/month

Best dedicated email parser

Analizador de aire (Web)

Ventajas de Airparser:

• Superfácil de usar

• Powerful AI-powered email parsing

• Las indicaciones le permiten extraer y estructurar datos

Desventajas de Airparser:

• Caro, especialmente en los planes más bajos

Airparser is an AI-powered email parser developed by Parsio, one of the other apps on this list. It's a separate product because it depends almost entirely on large language models to extract information from your emails, PDF documents, text files, and with OCR, even images. It's super powerful and really easy to use. (If I had to hazard a guess, I'd say its custom AI models are based on Llama.)

With Airparser, every inbox—though you can also upload files manually or using the API—has its own extraction schema. This is what structures the data you're trying to pull from an email, document, or other file. I found its auto-generated extraction schema did a great job of pulling out every actionable piece of data, though you can also write your own prompts if you don't need every single detail. 

Best of all, Airparser automatically formats things as JSON, so you can use its built-in Python post-processing to manipulate it, send it to a Google Sheet, or send it to almost any other app using Zapier. This means you can do things like send all your transactions straight to your accounting software or add new contacts to your CRM. Learn more about how to automate Airparser, or get started with one of these pre-made templates.

The big downside is the price. The Starter plan costs $39/month and only gets you 100 credits per month—that means each processed email costs $0.39. Things are much better on the $59/month Growth plan (500 credits per month/~$0.12 per email) and $179/month business plan (2,000 credits per month/~$0.09 per email). So if you're a high-volume user, Airparser could be quite good value—but if you're only parsing a few dozen emails per month, it'll be a pricey option. 

Precios de Airparser: prueba gratuita con 30 créditos; plan Starter con 100 créditos al mes desde $29/mes

El mejor analizador de correo electrónico multipropósito

Parsio (Web)

Ventajas de Parsio:

• Súper flexible

• Affordably priced

Desventajas de Parsio:

• No tienes tanto control sobre cómo la IA extrae datos como con Airparser

Parsio has a lot in common with Airparser—which is no surprise given that both tools were built by the same team. It offers GPT-based parsing, PDF-parsing using pre-trained AI models, and template-based parsing so it's one of the most flexible tools on the list. 

With GPT-powered parsing, you simply write a prompt directing it to do something like "extract the conference link, names of attendees and their email addresses, and the agenda" or "find the time of the meeting and convert it to EST" from almost any kind of document. If you've ever tried something similar with ChatGPT, you'll know how good AI can now be at this kind of thing.

The pre-trained PDF and image parsing is super interesting. Parsio has AI models to extract content for invoices, receipts, tax forms, ID documents, and other kinds of documents. They can also use OCR to extract data from scanned and handwritten documents. I found it did a really good job of pulling out all the information from my invoices. 

The template-based parsing is also good if you have a document where nothing changes. You select a chunk of text in your sample document and assign it to a data field or table. If things stay the same, it will work—but if something changes in the format of the email or document, your email parsing will break. It's the cheapest option though.

Parsio works using a credit system. It costs one credit per page to use the template-based parser (and an additional one credit to parse an email signature), two credits per page to use the GPT-powered parser, or five credits per page to parse an attachment with a pre-trained AI model. Paid plans start at $49/month with 1,000 credits.

Parsio ofrece posprocesamiento y se integra de forma nativa con Slack, Shopify y muchas otras aplicaciones, incluido Zapier. Esto significa que puedes hacer cosas como crear automáticamente registros de Google Sheets o Airtable a partir de documentos analizados. A continuación se muestran algunos ejemplos más.

Parsio pricing: Free trial; from $49/month for Starter plan with 1,000 credits/month.

El mejor analizador de correo electrónico para usuarios avanzados y para procesar documentos adjuntos.

Analizador (Web)

Ventajas del analizador:

• Un analizador de correo electrónico completo y flexible con excelentes plantillas y una IA sólida

• Plan gratuito decente

Desventajas del analizador:

• Caro, especialmente en los planes más bajos

Parseur is another flexible email parser like Parsio. Its AI-assisted mailbox creation does a great job of turning your example emails and documents into a template, though you can still use a predefined category like financial statement or invoice. It works with both emails and an inexplicably long list of file formats. If you need to pull a contact number from an ODT, RTF, Apple Pages, or even a WordPerfect file for some reason, it has you covered. It's also got some pretty powerful OCR features, like dynamic OCR that can find fields that move or change size in a document or email.

En términos de IA, Parseur se sitúa entre Airparser y Parsio. Puedes ser un poco más práctico con lo que extrae, pero no tienes el mismo nivel de control y personalización que ofrece Airparser.

Y hay mucho más que apreciar también. Hay soporte de posprocesamiento, por ejemplo, usando scripts de Python (a un precio más elevado) y muchas integraciones, incluido Zapier, para que puedas enviar datos extraídos de tu correo electrónico a miles de aplicaciones. Obtenga más información sobre cómo automatizar Parseur o pruebe estos flujos de trabajo prediseñados.

The downside: Parseur's credit system can be expensive. It costs one credit to parse one email or one page of an attachment. The free plan gets you 20 credits/month, but after that, the cheapest plan is 100 credits/month for $49. $0.49 per email or page of an attachment might be worthwhile if you want access to both a template system and an AI, and the price per credit goes down rapidly with higher monthly fees, so try Parseur out before you decide on a service.

Precios de Parseur: Free for 20 documentos al mes; desde $49/mes para un plan con 100 créditos/mes.

Otro software de análisis de correo electrónico

AI has dramatically changed email parsing in the last couple of years, which is awesome for users, but it's meant that some apps I used to love now feel a bit dated. With apps like Zapier, Airparser, Parsio, and Parseur making it super easy to extract data from emails, there's now no reason for most people to use a tool that makes things a bit more awkward. 

Aun así, si te sientes cómodo con el aspecto técnico de las cosas o quieres algo un poco diferente, hay algunas otras aplicaciones de análisis de correo electrónico que vale la pena considerar:

• Mailparser (which you can automate with Zapier) had one of my favorite template setups, but its AI features aren't as solid as the options on this list. 

• Parserr has some neat AI features, but the interface is a bit confusing and it requires a demo call to try out.

• Nanonets has some of the most powerful AI parsing features around, but everything about it is kind of confusing. Its pricing model is very opaque, it isn't really aimed at emails, and I struggled to get it set up. 

• Email Parser is the only service I looked at with a desktop Windows app. If that's what you want, give it a look, but it feels very dated.

• SigParser puede buscar en sus correos electrónicos y extraer todos los detalles de contacto en las firmas. Fue un poco limitado para hacer la lista de este año, pero el servicio es sólido.

Es emocionante ver cómo el auge actual de la IA convierte aplicaciones que antes eran complejas en herramientas sin código y fáciles de usar. Si bien hay mucho revuelo en torno a los chatbots y similares, es probable que algunas de estas actualizaciones menores a las herramientas que las personas y las empresas utilizan todos los días tengan el mismo impacto. Si todavía estás analizando tus correos electrónicos con las viejas y complicadas reglas de Gmail o copiando y pegando cosas en hojas de cálculo, prueba una de estas aplicaciones. 

Lecturas relacionadas:

• Cómo automatizar tu bandeja de entrada con un analizador de correo electrónico

• Las mejores formas de automatizar tu correo electrónico

• ¿Qué es la extracción de datos? Ejemplos + consejos de automatización

This article was originally published in January 2021 by Justin Pot. The most recent update was in August 2025.